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<title>Replication matierals for ‘Public Health Communication Reduces COVID-19 Misinformation Sharing and Boosts Self-Efficacy’</title>

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) 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}
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font-family: 'Lato';
font-style: normal;
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format('truetype');
}
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font-family: 'Lato';
font-style: italic;
font-weight: 400;
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) 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cDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm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s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof 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t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, 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i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return 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i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case 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0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return 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e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button 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<style type="text/css">

.tocify {
width: 20%;
max-height: 90%;
overflow: auto;
margin-left: 2%;
position: fixed;
border: 1px solid #ccc;
border-radius: 6px;
}

.tocify ul, .tocify li {
list-style: none;
margin: 0;
padding: 0;
border: none;
line-height: 30px;
}

.tocify-header {
text-indent: 10px;
}

.tocify-subheader {
text-indent: 20px;
display: none;
}

.tocify-subheader li {
font-size: 12px;
}

.tocify-subheader .tocify-subheader {
text-indent: 30px;
}
.tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 40px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 50px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 60px;
}

.tocify .tocify-item > a, .tocify .nav-list .nav-header {
margin: 0px;
}

.tocify .tocify-item a, .tocify .list-group-item {
padding: 5px;
}
.tocify .nav-pills > li {
float: none;
}


</style>
<script>/* jquery Tocify - v1.9.1 - 2013-10-22
 * http://www.gregfranko.com/jquery.tocify.js/
 * Copyright (c) 2013 Greg Franko; Licensed MIT */

// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
    tocify(window.jQuery, window, document);

  }

  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  (function($, window, document, undefined) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    var tocClassName = "tocify",
      tocClass = "." + tocClassName,
      tocFocusClassName = "tocify-focus",
      tocHoverClassName = "tocify-hover",
      hideTocClassName = "tocify-hide",
      hideTocClass = "." + hideTocClassName,
      headerClassName = "tocify-header",
      headerClass = "." + headerClassName,
      subheaderClassName = "tocify-subheader",
      subheaderClass = "." + subheaderClassName,
      itemClassName = "tocify-item",
      itemClass = "." + itemClassName,
      extendPageClassName = "tocify-extend-page",
      extendPageClass = "." + extendPageClassName;

    // Calling the jQueryUI Widget Factory Method
    $.widget("toc.tocify", {

      //Plugin version
      version: "1.9.1",

      // These options will be used as defaults
      options: {

        // **context**: Accepts String: Any jQuery selector
        // The container element that holds all of the elements used to generate the table of contents
        context: "body",

        // **ignoreSelector**: Accepts String: Any jQuery selector
        // A selector to any element that would be matched by selectors that you wish to be ignored
        ignoreSelector: null,

        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
        selectors: "h1, h2, h3",

        // **showAndHide**: Accepts a boolean: true or false
        // Used to determine if elements should be shown and hidden
        showAndHide: true,

        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
        // Used to display any of the table of contents nested items
        showEffect: "slideDown",

        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the show animation
        showEffectSpeed: "medium",

        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
        // Used to hide any of the table of contents nested items
        hideEffect: "slideUp",

        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the hide animation
        hideEffectSpeed: "medium",

        // **smoothScroll**: Accepts a boolean: true or false
        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
        smoothScroll: true,

        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the smoothScroll animation
        smoothScrollSpeed: "medium",

        // **scrollTo**: Accepts Number (pixels)
        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
        scrollTo: 0,

        // **showAndHideOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be shown and hidden while scrolling
        showAndHideOnScroll: true,

        // **highlightOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
        highlightOnScroll: true,

        // **highlightOffset**: Accepts a number
        // The offset distance in pixels to trigger the next active table of contents item
        highlightOffset: 40,

        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
        theme: "bootstrap",

        // **extendPage**: Accepts a boolean: true or false
        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
        extendPage: true,

        // **extendPageOffset**: Accepts a number: pixels
        // How close to the bottom of the page a user must scroll before the page is extended
        extendPageOffset: 100,

        // **history**: Accepts a boolean: true or false
        // Adds a hash to the page url to maintain history
        history: true,

        // **scrollHistory**: Accepts a boolean: true or false
        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
        scrollHistory: false,

        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
        // # character) will be generated.
        //
        // "compact" (default) - #CompressesEverythingTogether
        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
        // function(text, element){} - Your own hash generation function that accepts the text as an
        // argument, and returns the hash value.
        hashGenerator: "compact",

        // **highlightDefault**: Accepts a boolean: true or false
        // Set's the first TOC item as active if no other TOC item is active.
        highlightDefault: true

      },

      // _Create
      // -------
      //      Constructs the plugin.  Only called once.
      _create: function() {

        var self = this;

        self.extendPageScroll = true;

        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
        self.items = [];

        // Generates the HTML for the dynamic table of contents
        self._generateToc();

        // Adds CSS classes to the newly generated table of contents HTML
        self._addCSSClasses();

        self.webkit = (function() {

          for (var prop in window) {

            if (prop) {

              if (prop.toLowerCase().indexOf("webkit") !== -1) {

                return true;

              }

            }

          }

          return false;

        }());

        // Adds jQuery event handlers to the newly generated table of contents
        self._setEventHandlers();

        // Binding to the Window load event to make sure the correct scrollTop is calculated
        $(window).on("load", function() {

          // Sets the active TOC item
          self._setActiveElement(true);

          // Once all animations on the page are complete, this callback function will be called
          $("html, body").promise().done(function() {

            setTimeout(function() {

              self.extendPageScroll = false;

            }, 0);

          });

        });

      },

      // _generateToc
      // ------------
      //      Generates the HTML for the dynamic table of contents
      _generateToc: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
          firstElem,

          // Instantiated variable that will store the top level newly created unordered list DOM element
          ul,
          ignoreSelector = self.options.ignoreSelector;


        // Determine the element to start the toc with
        // get all the top level selectors
        firstElem = [];
        var selectors = this.options.selectors.replace(/ /g, "").split(",");
        // find the first set that have at least one non-ignored element
        for(var i = 0; i < selectors.length; i++) {
          var foundSelectors = $(this.options.context).find(selectors[i]);
          for (var s = 0; s < foundSelectors.length; s++) {
            if (!$(foundSelectors[s]).is(ignoreSelector)) {
              firstElem = foundSelectors;
              break;
            }
          }
          if (firstElem.length> 0)
            break;
        }

        if (!firstElem.length) {

          self.element.addClass(hideTocClassName);

          return;

        }

        self.element.addClass(tocClassName);

        // Loops through each top level selector
        firstElem.each(function(index) {

          //If the element matches the ignoreSelector then we skip it
          if ($(this).is(ignoreSelector)) {
            return;
          }

          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
          ul = $("<ul/>", {
            "id": headerClassName + index,
            "class": headerClassName
          }).

          // Appends a top level list item HTML element to the previously created HTML header
          append(self._nestElements($(this), index));

          // Add the created unordered list element to the HTML element calling the plugin
          self.element.append(ul);

          // Finds all of the HTML tags between the header and subheader elements
          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {

            // If there are no nested subheader elemements
            if ($(this).find(self.options.selectors).length === 0) {

              // Loops through all of the subheader elements
              $(this).filter(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

            // If there are nested subheader elements
            else {

              // Loops through all of the subheader elements
              $(this).find(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

          });

        });

      },

      _setActiveElement: function(pageload) {

        var self = this,

          hash = window.location.hash.substring(1),

          elem = self.element.find('li[data-unique="' + hash + '"]');

        if (hash.length) {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          elem.addClass(self.focusClass);

          // Triggers the click event on the currently focused TOC item
          elem.click();

        } else {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          if (!hash.length && pageload && self.options.highlightDefault) {

            // Highlights the first TOC item if no other items are highlighted
            self.element.find(itemClass).first().addClass(self.focusClass);

          }

        }

        return self;

      },

      // _nestElements
      // -------------
      //      Helps create the table of contents list by appending nested list items
      _nestElements: function(self, index) {

        var arr, item, hashValue;

        arr = $.grep(this.items, function(item) {

          return item === self.text();

        });

        // If there is already a duplicate TOC item
        if (arr.length) {

          // Adds the current TOC item text and index (for slight randomization) to the internal array
          this.items.push(self.text() + index);

        }

        // If there not a duplicate TOC item
        else {

          // Adds the current TOC item text to the internal array
          this.items.push(self.text());

        }

        hashValue = this._generateHashValue(arr, self, index);

        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
        item = $("<li/>", {

          // Sets a common class name to the list item
          "class": itemClassName,

          "data-unique": hashValue

        });

        if (this.options.theme !== "bootstrap3") {

          item.append($("<a/>", {

            "html": self.html()

          }));

        } else {

          item.html(self.html());

        }

        // Adds an HTML anchor tag before the currently traversed HTML element
        self.before($("<div/>", {

          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
          "name": hashValue,

          "data-unique": hashValue

        }));

        return item;

      },

      // _generateHashValue
      // ------------------
      //      Generates the hash value that will be used to refer to each item.
      _generateHashValue: function(arr, self, index) {

        var hashValue = "",
          hashGeneratorOption = this.options.hashGenerator;

        if (hashGeneratorOption === "pretty") {

          // prettify the text
          hashValue = self.text().toLowerCase().replace(/\s/g, "-");

          // fix double hyphens
          while (hashValue.indexOf("--") > -1) {
            hashValue = hashValue.replace(/--/g, "-");
          }

          // fix colon-space instances
          while (hashValue.indexOf(":-") > -1) {
            hashValue = hashValue.replace(/:-/g, "-");
          }

        } else if (typeof hashGeneratorOption === "function") {

          // call the function
          hashValue = hashGeneratorOption(self.text(), self);

        } else {

          // compact - the default
          hashValue = self.text().replace(/\s/g, "");

        }

        // add the index if we need to
        if (arr.length) {
          hashValue += "" + index;
        }

        // return the value
        return hashValue;

      },

      // _appendElements
      // ---------------
      //      Helps create the table of contents list by appending subheader elements

      _appendSubheaders: function(self, ul) {

        // The current element index
        var index = $(this).index(self.options.selectors),

          // Finds the previous header DOM element
          previousHeader = $(self.options.selectors).eq(index - 1),

          currentTagName = +$(this).prop("tagName").charAt(1),

          previousTagName = +previousHeader.prop("tagName").charAt(1),

          lastSubheader;

        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
        if (currentTagName < previousTagName) {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));

        }

        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
        else if (currentTagName === previousTagName) {

          ul.find(itemClass).last().after(self._nestElements($(this), index));

        } else {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          ul.find(itemClass).last().

          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
          after($("<ul/>", {

            "class": subheaderClassName,

            "data-tag": currentTagName

          })).next(subheaderClass).

          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
          append(self._nestElements($(this), index));
        }

      },

      // _setEventHandlers
      // ----------------
      //      Adds jQuery event handlers to the newly generated table of contents
      _setEventHandlers: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // Instantiates a new variable that will be used to hold a specific element's context
          $self,

          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
          duration;

        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
        this.element.on("click.tocify", "li", function(event) {

          if (self.options.history) {

            window.location.hash = $(this).attr("data-unique");

          }

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          $(this).addClass(self.focusClass);

          // If the showAndHide option is true
          if (self.options.showAndHide) {

            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');

            self._triggerShow(elem);

          }

          self._scrollTo($(this));

        });

        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
        this.element.find("li").on({

          // Mouseenter event handler
          "mouseenter.tocify": function() {

            // Adds a hover CSS class to the current list item
            $(this).addClass(self.hoverClass);

            // Makes sure the cursor is set to the pointer icon
            $(this).css("cursor", "pointer");

          },

          // Mouseleave event handler
          "mouseleave.tocify": function() {

            if (self.options.theme !== "bootstrap") {

              // Removes the hover CSS class from the current list item
              $(this).removeClass(self.hoverClass);

            }

          }
        });

        // only attach handler if needed (expensive in IE)
        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
          // Window scroll event handler
          $(window).on("scroll.tocify", function() {

            // Once all animations on the page are complete, this callback function will be called
            $("html, body").promise().done(function() {

              // Local variables

              // Stores how far the user has scrolled
              var winScrollTop = $(window).scrollTop(),

                // Stores the height of the window
                winHeight = $(window).height(),

                // Stores the height of the document
                docHeight = $(document).height(),

                scrollHeight = $("body")[0].scrollHeight,

                // Instantiates a variable that will be used to hold a selected HTML element
                elem,

                lastElem,

                lastElemOffset,

                currentElem;

              if (self.options.extendPage) {

                // If the user has scrolled to the bottom of the page and the last toc item is not focused
                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {

                  if (!$(extendPageClass).length) {

                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');

                    if (!lastElem.length) return;

                    // Gets the top offset of the page header that is linked to the last toc item
                    lastElemOffset = lastElem.offset().top;

                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
                    $(self.options.context).append($("<div/>", {

                      "class": extendPageClassName,

                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",

                      "data-unique": extendPageClassName

                    }));

                    if (self.extendPageScroll) {

                      currentElem = self.element.find('li.' + self.focusClass);

                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));

                    }

                  }

                }

              }

              // The zero timeout ensures the following code is run after the scroll events
              setTimeout(function() {

                // _Local variables_

                // Stores the distance to the closest anchor
                var closestAnchorDistance = null,

                  // Stores the index of the closest anchor
                  closestAnchorIdx = null,

                  // Keeps a reference to all anchors
                  anchors = $(self.options.context).find("div[data-unique]"),

                  anchorText;

                // Determines the index of the closest anchor
                anchors.each(function(idx) {
                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
                    closestAnchorDistance = distance;
                    closestAnchorIdx = idx;
                  } else {
                    return false;
                  }
                });

                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");

                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
                elem = $('li[data-unique="' + anchorText + '"]');

                // If the `highlightOnScroll` option is true and a next element is found
                if (self.options.highlightOnScroll && elem.length) {

                  // Removes highlighting from all of the list item's
                  self.element.find("." + self.focusClass).removeClass(self.focusClass);

                  // Highlights the corresponding list item
                  elem.addClass(self.focusClass);

                }

                if (self.options.scrollHistory) {

                  if (window.location.hash !== "#" + anchorText) {

                    window.location.replace("#" + anchorText);

                  }
                }

                // If the `showAndHideOnScroll` option is true
                if (self.options.showAndHideOnScroll && self.options.showAndHide) {

                  self._triggerShow(elem, true);

                }

              }, 0);

            });

          });
        }

      },

      // Show
      // ----
      //      Opens the current sub-header
      show: function(elem, scroll) {

        // Stores the plugin context in the `self` variable
        var self = this,
          element = elem;

        // If the sub-header is not already visible
        if (!elem.is(":visible")) {

          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {

            // Sets the current element to all of the subheaders within the current header
            elem = elem.parents(subheaderClass).add(elem);

          }

          // If the current element does not have any nested subheaders and is not a header
          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {

            // Sets the current element to the closest subheader
            elem = elem.closest(subheaderClass);

          }

          //Determines what jQuery effect to use
          switch (self.options.showEffect) {

            //Uses `no effect`
            case "none":

              elem.show();

              break;

              //Uses the jQuery `show` special effect
            case "show":

              elem.show(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `slideDown` special effect
            case "slideDown":

              elem.slideDown(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `fadeIn` special effect
            case "fadeIn":

              elem.fadeIn(self.options.showEffectSpeed);

              break;

              //If none of the above options were passed, then a `jQueryUI show effect` is expected
            default:

              elem.show();

              break;

          }

        }

        // If the current subheader parent element is a header
        if (elem.parent().is(headerClass)) {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem));

        }

        // If the current subheader parent element is not a header
        else {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));

        }

        // Maintains chainablity
        return self;

      },

      // Hide
      // ----
      //      Closes the current sub-header
      hide: function(elem) {

        // Stores the plugin context in the `self` variable
        var self = this;

        //Determines what jQuery effect to use
        switch (self.options.hideEffect) {

          // Uses `no effect`
          case "none":

            elem.hide();

            break;

            // Uses the jQuery `hide` special effect
          case "hide":

            elem.hide(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `slideUp` special effect
          case "slideUp":

            elem.slideUp(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `fadeOut` special effect
          case "fadeOut":

            elem.fadeOut(self.options.hideEffectSpeed);

            break;

            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
          default:

            elem.hide();

            break;

        }

        // Maintains chainablity
        return self;
      },

      // _triggerShow
      // ------------
      //      Determines what elements get shown on scroll and click
      _triggerShow: function(elem, scroll) {

        var self = this;

        // If the current element's parent is a header element or the next element is a nested subheader element
        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {

          // Shows the next sub-header element
          self.show(elem.next(subheaderClass), scroll);

        }

        // If the current element's parent is a subheader element
        else if (elem.parent().is(subheaderClass)) {

          // Shows the parent sub-header element
          self.show(elem.parent(), scroll);

        }

        // Maintains chainability
        return self;

      },

      // _addCSSClasses
      // --------------
      //      Adds CSS classes to the newly generated table of contents HTML
      _addCSSClasses: function() {

        // If the user wants a jqueryUI theme
        if (this.options.theme === "jqueryui") {

          this.focusClass = "ui-state-default";

          this.hoverClass = "ui-state-hover";

          //Adds the default styling to the dropdown list
          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap") {

          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");

          this.focusClass = "active";

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap3") {

          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");

          this.element.find(itemClass).addClass("list-group-item");

          this.focusClass = "active";

        }

        // If a user does not want a prebuilt theme
        else {

          // Adds more neutral classes (instead of jqueryui)

          this.focusClass = tocFocusClassName;

          this.hoverClass = tocHoverClassName;

        }

        //Maintains chainability
        return this;

      },

      // setOption
      // ---------
      //      Sets a single Tocify option after the plugin is invoked
      setOption: function() {

        // Calls the jQueryUI Widget Factory setOption method
        $.Widget.prototype._setOption.apply(this, arguments);

      },

      // setOptions
      // ----------
      //      Sets a single or multiple Tocify options after the plugin is invoked
      setOptions: function() {

        // Calls the jQueryUI Widget Factory setOptions method
        $.Widget.prototype._setOptions.apply(this, arguments);

      },

      // _scrollTo
      // ---------
      //      Scrolls to a specific element
      _scrollTo: function(elem) {

        var self = this,
          duration = self.options.smoothScroll || 0,
          scrollTo = self.options.scrollTo,
          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');

        if (!currentDiv.length) {

          return self;

        }

        // Once all animations on the page are complete, this callback function will be called
        $("html, body").promise().done(function() {

          // Animates the html and body element scrolltops
          $("html, body").animate({

            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"

          }, {

            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
            "duration": duration

          });

        });

        // Maintains chainability
        return self;

      }

    });

  })); //end of plugin
</script>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
<script>
window.initializeCodeFolding = function(show) {

  // handlers for show-all and hide all
  $("#rmd-show-all-code").click(function() {
    $('div.r-code-collapse').each(function() {
      $(this).collapse('show');
    });
  });
  $("#rmd-hide-all-code").click(function() {
    $('div.r-code-collapse').each(function() {
      $(this).collapse('hide');
    });
  });

  // index for unique code element ids
  var currentIndex = 1;

  // select all R code blocks
  var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
  rCodeBlocks.each(function() {
    // skip if the block has fold-none class
    if ($(this).hasClass('fold-none')) return;

    // create a collapsable div to wrap the code in
    var div = $('<div class="collapse r-code-collapse"></div>');
    var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
    var id = 'rcode-643E0F36' + currentIndex++;
    div.attr('id', id);
    $(this).before(div);
    $(this).detach().appendTo(div);

    // add a show code button right above
    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs btn-secondary btn-sm code-folding-btn pull-right float-right"></button>');
    showCodeButton.append(showCodeText);
    showCodeButton
        .attr('data-toggle', 'collapse')
        .attr('data-bs-toggle', 'collapse') // BS5
        .attr('data-target', '#' + id)
        .attr('data-bs-target', '#' + id)   // BS5
        .attr('aria-expanded', showThis)
        .attr('aria-controls', id);

    var buttonRow = $('<div class="row"></div>');
    var buttonCol = $('<div class="col-md-12"></div>');

    buttonCol.append(showCodeButton);
    buttonRow.append(buttonCol);

    div.before(buttonRow);

    // show the div if necessary
    if (showThis) div.collapse('show');

    // update state of button on show/hide
    //   * Change text
    //   * add a class for intermediate states styling
    div.on('hide.bs.collapse', function () {
      showCodeText.text('Code');
      showCodeButton.addClass('btn-collapsing');
    });
    div.on('hidden.bs.collapse', function () {
      showCodeButton.removeClass('btn-collapsing');
    });
    div.on('show.bs.collapse', function () {
      showCodeText.text('Hide');
      showCodeButton.addClass('btn-expanding');
    });
    div.on('shown.bs.collapse', function () {
      showCodeButton.removeClass('btn-expanding');
    });

  });

}
</script>
<style type="text/css">.hljs-literal {
color: #990073;
}
.hljs-number {
color: #099;
}
.hljs-comment {
color: #998;
font-style: italic;
}
.hljs-keyword {
color: #900;
font-weight: bold;
}
.hljs-string {
color: #d14;
}
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      return e.hasAttribute("data-pagedtable-source");
    });

    if (sourceElems === null || sourceElems.length !== 1) {
      throw("A single data-pagedtable-source was not found");
    }

    return JSON.parse(sourceElems[0].innerHTML);
  }(pagedTable);

  var options = function(source) {
    var options = typeof(source.options) !== "undefined" &&
      source.options !== null ? source.options : {};

    var columns = typeof(options.columns) !== "undefined" ? options.columns : {};
    var rows = typeof(options.rows) !== "undefined" ? options.rows : {};

    var positiveIntOrNull = function(value) {
      return parseInt(value) >= 0 ? parseInt(value) : null;
    };

    return {
      pages: positiveIntOrNull(options.pages),
      rows: {
        min: positiveIntOrNull(rows.min),
        max: positiveIntOrNull(rows.max),
        total: positiveIntOrNull(rows.total)
      },
      columns: {
        min: positiveIntOrNull(columns.min),
        max: positiveIntOrNull(columns.max),
        total: positiveIntOrNull(columns.total)
      }
    };
  }(source);

  var Measurer = function() {

    // set some default initial values that will get adjusted in runtime
    me.measures = {
      padding: 12,
      character: 8,
      height: 15,
      defaults: true
    };

    me.calculate = function(measuresCell) {
      if (!me.measures.defaults)
        return;

      var measuresCellStyle = window.getComputedStyle(measuresCell, null);

      var newPadding = parsePadding(measuresCellStyle.paddingLeft) +
            parsePadding(measuresCellStyle.paddingRight);

      var sampleString = "ABCDEFGHIJ0123456789";
      var newCharacter = Math.ceil(measuresCell.clientWidth / sampleString.length);

      if (newPadding <= 0 || newCharacter <= 0)
        return;

      me.measures.padding = newPadding;
      me.measures.character = newCharacter;
      me.measures.height = measuresCell.clientHeight;
      me.measures.defaults = false;
    };

    return me;
  };

  var Page = function(data, options) {
    var me = this;

    var defaults = {
      max: 7,
      rows: 10
    };

    var totalPages = function() {
      return Math.ceil(data.length / me.rows);
    };

    me.number = 0;
    me.max = options.pages !== null ? options.pages : defaults.max;
    me.visible = me.max;
    me.rows = options.rows.min !== null ? options.rows.min : defaults.rows;
    me.total = totalPages();

    me.setRows = function(newRows) {
      me.rows = newRows;
      me.total = totalPages();
    };

    me.setPageNumber = function(newPageNumber) {
      if (newPageNumber < 0) newPageNumber = 0;
      if (newPageNumber >= me.total) newPageNumber = me.total - 1;

      me.number = newPageNumber;
    };

    me.setVisiblePages = function(visiblePages) {
      me.visible = Math.min(me.max, visiblePages);
      me.setPageNumber(me.number);
    };

    me.getVisiblePageRange = function() {
      var start = me.number - Math.max(Math.floor((me.visible - 1) / 2), 0);
      var end = me.number + Math.floor(me.visible / 2) + 1;
      var pageCount = me.total;

      if (start < 0) {
        var diffToStart = 0 - start;
        start += diffToStart;
        end += diffToStart;
      }

      if (end > pageCount) {
        var diffToEnd = end - pageCount;
        start -= diffToEnd;
        end -= diffToEnd;
      }

      start = start < 0 ? 0 : start;
      end = end >= pageCount ? pageCount : end;

      var first = false;
      var last = false;

      if (start > 0 && me.visible > 1) {
        start = start + 1;
        first = true;
      }

      if (end < pageCount && me.visible > 2) {
        end = end - 1;
        last = true;
      }

      return {
        first: first,
        start: start,
        end: end,
        last: last
      };
    };

    me.getRowStart = function() {
      var rowStart = page.number * page.rows;
      if (rowStart < 0)
        rowStart = 0;

      return rowStart;
    };

    me.getRowEnd = function() {
      var rowStart = me.getRowStart();
      return Math.min(rowStart + me.rows, data.length);
    };

    me.getPaddingRows = function() {
      var rowStart = me.getRowStart();
      var rowEnd = me.getRowEnd();
      return data.length > me.rows ? me.rows - (rowEnd - rowStart) : 0;
    };
  };

  var Columns = function(data, columns, options) {
    var me = this;

    me.defaults = {
      min: 5
    };

    me.number = 0;
    me.visible = 0;
    me.total = columns.length;
    me.subset = [];
    me.padding = 0;
    me.min = options.columns.min !== null ? options.columns.min : me.defaults.min;
    me.max = options.columns.max !== null ? options.columns.max : null;
    me.widths = {};

    var widthsLookAhead = Math.max(100, options.rows.min);
    var paddingColChars = 10;

    me.emptyNames = function() {
      columns.forEach(function(column) {
        if (columns.label !== null && columns.label !== "")
          return false;
      });

      return true;
    };

    var parsePadding = function(value) {
      return parseInt(value) >= 0 ? parseInt(value) : 0;
    };

    me.calculateWidths = function(measures) {
      columns.forEach(function(column) {
        var maxChars = Math.max(
          column.label.toString().length,
          column.type.toString().length
        );

        for (var idxRow = 0; idxRow < Math.min(widthsLookAhead, data.length); idxRow++) {
          maxChars = Math.max(maxChars, data[idxRow][column.name.toString()].length);
        }

        me.widths[column.name] = {
          // width in characters
          chars: maxChars,
          // width for the inner html columns
          inner: maxChars * measures.character,
          // width adding outer styles like padding
          outer: maxChars * measures.character + measures.padding
        };
      });
    };

    me.getWidth = function() {
      var widthOuter = 0;
      for (var idxCol = 0; idxCol < me.subset.length; idxCol++) {
        var columnName = me.subset[idxCol].name;
        widthOuter = widthOuter + me.widths[columnName].outer;
      }

      widthOuter = widthOuter + me.padding * paddingColChars * measurer.measures.character;

      if (me.hasMoreLeftColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      if (me.hasMoreRightColumns()) {
        widthOuter = widthOuter + columnNavigationWidthPX + measurer.measures.padding;
      }

      return widthOuter;
    };

    me.updateSlice = function() {
      if (me.number + me.visible >= me.total)
        me.number = me.total - me.visible;

      if (me.number < 0) me.number = 0;

      me.subset = columns.slice(me.number, Math.min(me.number + me.visible, me.total));

      me.subset = me.subset.map(function(column) {
        Object.keys(column).forEach(function(colKey) {
          column[colKey] = column[colKey] === null ? "" : column[colKey].toString();
        });

        column.width = null;
        return column;
      });
    };

    me.setVisibleColumns = function(columnNumber, newVisibleColumns, paddingCount) {
      me.number = columnNumber;
      me.visible = newVisibleColumns;
      me.padding = paddingCount;

      me.updateSlice();
    };

    me.incColumnNumber = function(increment) {
      me.number = me.number + increment;
    };

    me.setColumnNumber = function(newNumber) {
      me.number = newNumber;
    };

    me.setPaddingCount = function(newPadding) {
      me.padding = newPadding;
    };

    me.getPaddingCount = function() {
      return me.padding;
    };

    me.hasMoreLeftColumns = function() {
      return me.number > 0;
    };

    me.hasMoreRightColumns = function() {
      return me.number + me.visible < me.total;
    };

    me.updateSlice(0);
    return me;
  };

  var data = source.data;
  var page = new Page(data, options);
  var measurer = new Measurer(data, options);
  var columns = new Columns(data, source.columns, options);

  var table = null;
  var tableDiv = null;
  var header = null;
  var footer = null;
  var tbody = null;

  // Caches pagedTable.clientWidth, specially for webkit
  var cachedPagedTableClientWidth = null;

  var onChangeCallbacks = [];

  var clearSelection = function() {
    if(document.selection && document.selection.empty) {
      document.selection.empty();
    } else if(window.getSelection) {
      var sel = window.getSelection();
      sel.removeAllRanges();
    }
  };

  var columnNavigationWidthPX = 5;

  var renderColumnNavigation = function(increment, backwards) {
    var arrow = document.createElement("div");
    arrow.setAttribute("style",
      "border-top: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-bottom: " + columnNavigationWidthPX + "px solid transparent;" +
      "border-" + (backwards ? "right" : "left") + ": " + columnNavigationWidthPX + "px solid;");

    var header = document.createElement("th");
    header.appendChild(arrow);
    header.setAttribute("style",
      "cursor: pointer;" +
      "vertical-align: middle;" +
      "min-width: " + columnNavigationWidthPX + "px;" +
      "width: " + columnNavigationWidthPX + "px;");

    header.onclick = function() {
      columns.incColumnNumber(backwards ? -1 : increment);

      me.animateColumns(backwards);
      renderFooter();

      clearSelection();
      triggerOnChange();
    };

    return header;
  };

  var maxColumnWidth = function(width) {
    var padding = 80;
    var columnMax = Math.max(cachedPagedTableClientWidth - padding, 0);

    return parseInt(width) > 0 ?
      Math.min(columnMax, parseInt(width)) + "px" :
      columnMax + "px";
  };

  var clearHeader = function() {
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.innerHTML = "";
  };

  var renderHeader = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth;

    var fragment = document.createDocumentFragment();

    header = document.createElement("tr");
    fragment.appendChild(header);

    if (columns.number > 0)
      header.appendChild(renderColumnNavigation(-columns.visible, true));

    columns.subset = columns.subset.map(function(columnData) {
      var column = document.createElement("th");
      column.setAttribute("align", columnData.align);
      column.style.textAlign = columnData.align;

      column.style.maxWidth = maxColumnWidth(null);
      if (columnData.width) {
        column.style.minWidth =
          column.style.maxWidth = maxColumnWidth(columnData.width);
      }

      var columnName = document.createElement("div");
      columnName.setAttribute("class", "pagedtable-header-name");
      if (columnData.label === "") {
        columnName.innerHTML = "&nbsp;";
      }
      else {
        columnName.appendChild(document.createTextNode(columnData.label));
      }
      column.appendChild(columnName);

      var columnType = document.createElement("div");
      columnType.setAttribute("class", "pagedtable-header-type");
      if (columnData.type === "") {
        columnType.innerHTML = "&nbsp;";
      }
      else {
        columnType.appendChild(document.createTextNode("<" + columnData.type + ">"));
      }
      column.appendChild(columnType);

      header.appendChild(column);

      columnData.element = column;

      return columnData;
    });

    for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
      var paddingCol = document.createElement("th");
      paddingCol.setAttribute("class", "pagedtable-padding-col");
      header.appendChild(paddingCol);
    }

    if (columns.number + columns.visible < columns.total)
      header.appendChild(renderColumnNavigation(columns.visible, false));

    if (typeof(clear) == "undefined" || clear) clearHeader();
    var thead = pagedTable.querySelectorAll("thead")[0];
    thead.appendChild(fragment);
  };

  me.animateColumns = function(backwards) {
    var thead = pagedTable.querySelectorAll("thead")[0];

    var headerOld = thead.querySelectorAll("tr")[0];
    var tbodyOld = table.querySelectorAll("tbody")[0];

    me.fitColumns(backwards);

    renderHeader(false);

    header.style.opacity = "0";
    header.style.transform = backwards ? "translateX(-30px)" : "translateX(30px)";
    header.style.transition = "transform 200ms linear, opacity 200ms";
    header.style.transitionDelay = "0";

    renderBody(false);

    if (headerOld) {
      headerOld.style.position = "absolute";
      headerOld.style.transform = "translateX(0px)";
      headerOld.style.opacity = "1";
      headerOld.style.transition = "transform 100ms linear, opacity 100ms";
      headerOld.setAttribute("class", "pagedtable-remove-head");
      if (headerOld.style.transitionEnd) {
        headerOld.addEventListener("transitionend", function() {
          var headerOldByClass = thead.querySelector(".pagedtable-remove-head");
          if (headerOldByClass) thead.removeChild(headerOldByClass);
        });
      }
      else {
        thead.removeChild(headerOld);
      }
    }

    if (tbodyOld) table.removeChild(tbodyOld);

    tbody.style.opacity = "0";
    tbody.style.transition = "transform 200ms linear, opacity 200ms";
    tbody.style.transitionDelay = "0ms";

    // force relayout
    window.getComputedStyle(header).opacity;
    window.getComputedStyle(tbody).opacity;

    if (headerOld) {
      headerOld.style.transform = backwards ? "translateX(20px)" : "translateX(-30px)";
      headerOld.style.opacity = "0";
    }

    header.style.transform = "translateX(0px)";
    header.style.opacity = "1";

    tbody.style.opacity = "1";
  }

  me.onChange = function(callback) {
    onChangeCallbacks.push(callback);
  };

  var triggerOnChange = function() {
    onChangeCallbacks.forEach(function(onChange) {
      onChange();
    });
  };

  var clearBody = function() {
    if (tbody) {
      table.removeChild(tbody);
      tbody = null;
    }
  };

  var renderBody = function(clear) {
    cachedPagedTableClientWidth = pagedTable.clientWidth

    var fragment = document.createDocumentFragment();

    var pageData = data.slice(page.getRowStart(), page.getRowEnd());

    pageData.forEach(function(dataRow, idxRow) {
      var htmlRow = document.createElement("tr");
      htmlRow.setAttribute("class", (idxRow % 2 !==0) ? "even" : "odd");

      if (columns.hasMoreLeftColumns())
        htmlRow.appendChild(document.createElement("td"));

      columns.subset.forEach(function(columnData) {
        var cellName = columnData.name;
        var dataCell = dataRow[cellName];
        var htmlCell = document.createElement("td");

        if (dataCell === "NA") htmlCell.setAttribute("class", "pagedtable-na-cell");
        if (dataCell === "__NA__") dataCell = "NA";

        var cellText = document.createTextNode(dataCell);
        htmlCell.appendChild(cellText);
        if (dataCell.length > 50) {
          htmlCell.setAttribute("title", dataCell);
        }
        htmlCell.setAttribute("align", columnData.align);
        htmlCell.style.textAlign = columnData.align;
        htmlCell.style.maxWidth = maxColumnWidth(null);
        if (columnData.width) {
          htmlCell.style.minWidth = htmlCell.style.maxWidth = maxColumnWidth(columnData.width);
        }
        htmlRow.appendChild(htmlCell);
      });

      for (var idx = 0; idx < columns.getPaddingCount(); idx++) {
        var paddingCol = document.createElement("td");
        paddingCol.setAttribute("class", "pagedtable-padding-col");
        htmlRow.appendChild(paddingCol);
      }

      if (columns.hasMoreRightColumns())
        htmlRow.appendChild(document.createElement("td"));

      fragment.appendChild(htmlRow);
    });

    for (var idxPadding = 0; idxPadding < page.getPaddingRows(); idxPadding++) {
      var paddingRow = document.createElement("tr");

      var paddingCellRow = document.createElement("td");
      paddingCellRow.innerHTML = "&nbsp;";
      paddingCellRow.setAttribute("colspan", "100%");
      paddingRow.appendChild(paddingCellRow);

      fragment.appendChild(paddingRow);
    }

    if (typeof(clear) == "undefined" || clear) clearBody();
    tbody = document.createElement("tbody");
    tbody.appendChild(fragment);

    table.appendChild(tbody);
  };

  var getLabelInfo = function() {
    var pageStart = page.getRowStart();
    var pageEnd = page.getRowEnd();
    var totalRows = data.length;

    var totalRowsLabel = options.rows.total ? options.rows.total : totalRows;
    var totalRowsLabelFormat = totalRowsLabel.toString().replace(/(\d)(?=(\d\d\d)+(?!\d))/g, '$1,');

    var infoText = (pageStart + 1) + "-" + pageEnd + " of " + totalRowsLabelFormat + " rows";
    if (totalRows < page.rows) {
      infoText = totalRowsLabel + " row" + (totalRows != 1 ? "s" : "");
    }
    if (columns.total > columns.visible) {
      var totalColumnsLabel = options.columns.total ? options.columns.total : columns.total;

      infoText = infoText + " | " + (columns.number + 1) + "-" +
        (Math.min(columns.number + columns.visible, columns.total)) +
        " of " + totalColumnsLabel + " columns";
    }

    return infoText;
  };

  var clearFooter = function() {
    footer = pagedTable.querySelectorAll("div.pagedtable-footer")[0];
    footer.innerHTML = "";

    return footer;
  };

  var createPageLink = function(idxPage) {
    var pageLink = document.createElement("a");
    pageLinkClass = idxPage === page.number ? "pagedtable-index pagedtable-index-current" : "pagedtable-index";
    pageLink.setAttribute("class", pageLinkClass);
    pageLink.setAttribute("data-page-index", idxPage);
    pageLink.onclick = function() {
      page.setPageNumber(parseInt(this.getAttribute("data-page-index")));
      renderBody();
      renderFooter();

      triggerOnChange();
    };

    pageLink.appendChild(document.createTextNode(idxPage + 1));

    return pageLink;
  }

  var renderFooter = function() {
    footer = clearFooter();

    var next = document.createElement("a");
    next.appendChild(document.createTextNode("Next"));
    next.onclick = function() {
      page.setPageNumber(page.number + 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(next);

    var pageNumbers = document.createElement("div");
    pageNumbers.setAttribute("class", "pagedtable-indexes");

    var pageRange = page.getVisiblePageRange();

    if (pageRange.first) {
      var pageLink = createPageLink(0);
      pageNumbers.appendChild(pageLink);

      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-left");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);
    }

    for (var idxPage = pageRange.start; idxPage < pageRange.end; idxPage++) {
      var pageLink = createPageLink(idxPage);

      pageNumbers.appendChild(pageLink);
    }

    if (pageRange.last) {
      var pageSeparator = document.createElement("div");
      pageSeparator.setAttribute("class", "pagedtable-index-separator-right");
      pageSeparator.appendChild(document.createTextNode("..."))
      pageNumbers.appendChild(pageSeparator);

      var pageLink = createPageLink(page.total - 1);
      pageNumbers.appendChild(pageLink);
    }

    if (data.length > page.rows) footer.appendChild(pageNumbers);

    var previous = document.createElement("a");
    previous.appendChild(document.createTextNode("Previous"));
    previous.onclick = function() {
      page.setPageNumber(page.number - 1);
      renderBody();
      renderFooter();

      triggerOnChange();
    };
    if (data.length > page.rows) footer.appendChild(previous);

    var infoLabel = document.createElement("div");
    infoLabel.setAttribute("class", "pagedtable-info");
    infoLabel.setAttribute("title", getLabelInfo());
    infoLabel.appendChild(document.createTextNode(getLabelInfo()));
    footer.appendChild(infoLabel);

    var enabledClass = "pagedtable-index-nav";
    var disabledClass = "pagedtable-index-nav pagedtable-index-nav-disabled";
    previous.setAttribute("class", page.number <= 0 ? disabledClass : enabledClass);
    next.setAttribute("class", (page.number + 1) * page.rows >= data.length ? disabledClass : enabledClass);
  };

  var measuresCell = null;

  var renderMeasures = function() {
    var measuresTable = document.createElement("table");
    measuresTable.style.visibility = "hidden";
    measuresTable.style.position = "absolute";
    measuresTable.style.whiteSpace = "nowrap";
    measuresTable.style.height = "auto";
    measuresTable.style.width = "auto";

    var measuresRow = document.createElement("tr");
    measuresTable.appendChild(measuresRow);

    measuresCell = document.createElement("td");
    var sampleString = "ABCDEFGHIJ0123456789";
    measuresCell.appendChild(document.createTextNode(sampleString));

    measuresRow.appendChild(measuresCell);

    tableDiv.appendChild(measuresTable);
  }

  me.init = function() {
    tableDiv = document.createElement("div");
    pagedTable.appendChild(tableDiv);
    var pagedTableClass = data.length > 0 ?
      "pagedtable pagedtable-not-empty" :
      "pagedtable pagedtable-empty";

    if (columns.total == 0 || (columns.emptyNames() && data.length == 0)) {
      pagedTableClass = pagedTableClass + " pagedtable-empty-columns";
    }

    tableDiv.setAttribute("class", pagedTableClass);

    renderMeasures();
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    table = document.createElement("table");
    table.setAttribute("cellspacing", "0");
    table.setAttribute("class", "table table-condensed");
    tableDiv.appendChild(table);

    table.appendChild(document.createElement("thead"));

    var footerDiv = document.createElement("div");
    footerDiv.setAttribute("class", "pagedtable-footer");
    tableDiv.appendChild(footerDiv);

    // if the host has not yet provided horizontal space, render hidden
    if (tableDiv.clientWidth <= 0) {
      tableDiv.style.opacity = "0";
    }

    me.render();

    // retry seizing columns later if the host has not provided space
    function retryFit() {
      if (tableDiv.clientWidth <= 0) {
        setTimeout(retryFit, 100);
      } else {
        me.render();
        triggerOnChange();
      }
    }
    if (tableDiv.clientWidth <= 0) {
      retryFit();
    }
  };

  var registerWidths = function() {
    columns.subset = columns.subset.map(function(column) {
      column.width = columns.widths[column.name].inner;
      return column;
    });
  };

  var parsePadding = function(value) {
    return parseInt(value) >= 0 ? parseInt(value) : 0;
  };

  me.fixedHeight = function() {
    return options.rows.max != null;
  }

  me.fitRows = function() {
    if (me.fixedHeight())
      return;

    measurer.calculate(measuresCell);

    var rows = options.rows.min !== null ? options.rows.min : 0;
    var headerHeight = header !== null && header.offsetHeight > 0 ? header.offsetHeight : 0;
    var footerHeight = footer !== null && footer.offsetHeight > 0 ? footer.offsetHeight : 0;

    if (pagedTable.offsetHeight > 0) {
      var availableHeight = pagedTable.offsetHeight - headerHeight - footerHeight;
      rows = Math.floor((availableHeight) / measurer.measures.height);
    }

    rows = options.rows.min !== null ? Math.max(options.rows.min, rows) : rows;

    page.setRows(rows);
  }

  // The goal of this function is to add as many columns as possible
  // starting from left-to-right, when the right most limit is reached
  // it tries to add columns from the left as well.
  //
  // When startBackwards is true columns are added from right-to-left
  me.fitColumns = function(startBackwards) {
    measurer.calculate(measuresCell);
    columns.calculateWidths(measurer.measures);

    if (tableDiv.clientWidth > 0) {
      tableDiv.style.opacity = 1;
    }

    var visibleColumns = tableDiv.clientWidth <= 0 ? Math.max(columns.min, 1) : 1;
    var columnNumber = columns.number;
    var paddingCount = 0;

    // track a list of added columns as we build the visible ones to allow us
    // to remove columns when they don't fit anymore.
    var columnHistory = [];

    var lastTableHeight = 0;
    var backwards = startBackwards;

    var tableDivStyle = window.getComputedStyle(tableDiv, null);
    var tableDivPadding = parsePadding(tableDivStyle.paddingLeft) +
      parsePadding(tableDivStyle.paddingRight);

    var addPaddingCol = false;
    var currentWidth = 0;

    while (true) {
      columns.setVisibleColumns(columnNumber, visibleColumns, paddingCount);
      currentWidth = columns.getWidth();

      if (tableDiv.clientWidth - tableDivPadding < currentWidth) {
        break;
      }

      columnHistory.push({
        columnNumber: columnNumber,
        visibleColumns: visibleColumns,
        paddingCount: paddingCount
      });

      if (columnHistory.length > 100) {
        console.error("More than 100 tries to fit columns, aborting");
        break;
      }

      if (columns.max !== null &&
        columns.visible + columns.getPaddingCount() >= columns.max) {
        break;
      }

      // if we run out of right-columns
      if (!backwards && columnNumber + columns.visible >= columns.total) {
        // if we started adding right-columns, try adding left-columns
        if (!startBackwards && columnNumber > 0) {
          backwards = true;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

      // if we run out of left-columns
      if (backwards && columnNumber == 0) {
        // if we started adding left-columns, try adding right-columns
        if (startBackwards && columnNumber + columns.visible < columns.total) {
          backwards = false;
        }
        else if (columns.min === null || visibleColumns + columns.getPaddingCount() >= columns.min) {
          break;
        }
        else {
          paddingCount = paddingCount + 1;
        }
      }

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<h1 class="title toc-ignore">Replication matierals for ‘Public Health
Communication Reduces COVID-19 Misinformation Sharing and Boosts
Self-Efficacy’</h1>

</div>


<div id="setup" class="section level1">
<h1>Setup</h1>
<pre class="r"><code>knitr::opts_chunk$set(cache = TRUE)
knitr::opts_chunk$set(echo = TRUE)
knitr::opts_chunk$set(include = TRUE)
knitr::opts_chunk$set(message = TRUE)
knitr::opts_chunk$set(fig.show = &quot;always&quot;)


library(&quot;pacman&quot;)
pacman::p_load(
  modelsummary,
  fixest,
  summarytools,
  glue,
  rstatix,
  purrr,
  ggeffects,
  sjPlot,
  sjmisc,
  car,
  ggeffects,
  here,
  haven,
  pwr, # Power analysis
  stats,
  rlang,
  janitor,
  ggplot2,
  dplyr,
  ggthemes,
  margins,
  estimatr,
  tidyverse,
  broom,
  lmtest,
  htmltools,
  gridExtra,
  scales,
  rio,
  stringr,
  readxl,
  kableExtra,
  magick,
  labelled,
  leaflet,
  marginaleffects
)

# Set theme
theme_set(theme_bw())
theme_update(
  panel.spacing = unit(1, &quot;lines&quot;),
  panel.border = element_rect(fill = NA),
  panel.background = element_rect(fill = &quot;white&quot;),
  panel.grid.major = element_blank(),
  panel.grid.minor = element_blank(),
  strip.background = element_rect(fill = &quot;gray90&quot;),
             strip.text.y = element_text( size = 10)) # Attrubute text size)


# Remove scientific notation
options(scipen = 100)

# DROP ZERO FOR SCALE
dropLeadingZero &lt;- function(l){
  str_replace(l, &#39;0(?=.)&#39;, &#39;&#39;)
}

# CREATE NO_ZERO FUNCTION FOR GGPLOT

no_zero &lt;- function(x) {
  y &lt;- sprintf(&#39;%.1f&#39;,x)
  y[x &gt; 0 &amp; x &lt; 1] &lt;- sprintf(&#39;.%s&#39;,x[x &gt; 0 &amp; x &lt; 1]*10)
  y[x == 0] &lt;- &#39;0&#39;
  y[x &gt; -1 &amp; x &lt; 0] &lt;- sprintf(&#39;-.%s&#39;,x[x &gt; -1 &amp; x &lt; 0]*-10)
  y
}</code></pre>
</div>
<div id="data-wrangling" class="section level1">
<h1>Data wrangling</h1>
<div id="load-packages" class="section level2">
<h2>Load packages</h2>
<pre class="r"><code>#install_packages(&quot;pacman&quot;)

pacman::p_load(tidyverse,
       here,
       readxl,
       haven,
       janitor,
       scales,
       modelsummary,
       labelled,
       pwr)</code></pre>
</div>
<div id="pretest" class="section level2">
<h2>Pretest</h2>
<pre class="r"><code>dfraw &lt;- read_dta(here::here(&quot;pretest_data.dta&quot;))

# Clean names
df_clean &lt;- clean_names(dfraw)

# Rehaping
# step1: First I reshape for each task and the corresponding rating 
df &lt;- df_clean %&gt;% 
  dplyr::select(caseid, gender, profile_age, profile_age2, region, profile_education, profile_education_rc, personal_income, household_income, ft_next, ft19, device_category, tot_time, endtime, duration, weight, accuracypic_order_1:accuracypic_order_44,
                accuracypic1:accuracypic_order_44) %&gt;% 
  pivot_longer(col = c(accuracypic1:accuracypic44),
               names_to = &quot;headline&quot;,
               names_prefix = &quot;accuracypic&quot;,
               values_to = &quot;rating&quot;,
               values_drop_na = TRUE)

# Rename caseid
df &lt;- df %&gt;%
  dplyr::rename(resid = caseid)
#names(df)

# From colum 46-89 (accuracypic_order_), keep only the 13-20th letter
names(df)[17:60] &lt;- str_sub(names(df)[17:60],13,20)

#names(df)
# Rescale headline from 1-4 to 0-1
df$rating &lt;- rescale(as.numeric(df$rating), to = c(0,1))

# Save headline as numeric?

# Turn it into a factor
df$headlineraw &lt;- df$headline
df$headlinefac &lt;- as.factor(df$headlineraw)
df$headline &lt;- factor(df$headline,
                               levels=c(1:44),
                               labels=c(&quot;f1.&quot;,&quot;f2&quot;,&quot;f3&quot;,&quot;f4&quot;,&quot;f5&quot;,
                                        &quot;f6&quot;,&quot;f7&quot;,&quot;f8&quot;,&quot;f9&quot;,&quot;f10&quot;, 
                                        &quot;f11&quot;,&quot;f12&quot;,&quot;f13&quot;,&quot;f14&quot;,&quot;f15&quot;,
                                        &quot;f16&quot;,&quot;f17&quot;,&quot;f18&quot;,&quot;f19&quot;,&quot;f20&quot;,
                                        &quot;r1&quot;,&quot;r2&quot;,&quot;r3&quot;,&quot;r4&quot;,&quot;r5&quot;,
                                        &quot;r6&quot;,&quot;r7&quot;,&quot;r8&quot;,&quot;r9&quot;,&quot;r10&quot;,
                                        &quot;r11&quot;,&quot;r12&quot;,&quot;r13&quot;,&quot;r14&quot;,&quot;r15&quot;,
                                        &quot;r16&quot;,&quot;r17&quot;,&quot;r18&quot;,&quot;r19&quot;,&quot;r20&quot;,
                                        &quot;n1&quot;,&quot;n2&quot;,&quot;n3&quot;,&quot;n4&quot;))

df$headline_text &lt;- factor(df$headlinefac, 
                           levels=c(1:44),
                           labels=c(
                             &quot;Kokosolie har historisk kunnet ødelægge vira, herunder coronavirus.&quot;,
                             &quot;C-vitamin beskytter mod coronavirus&quot;,
                             &quot;Levende orm i mundbind! Smid dem ud!&quot;,
                             &quot;Coronavirus: Nordkoreas første bekræftede smittede blev skudt.&quot;,
                             &quot;Næsetest skader din hjerne.&quot;,
                             &quot;Store mængder C-vitamin sænker dødeligheden og alvorlig sygdom for coronavirus.&quot;,
                             &quot;Vaccinerede i Israel har 40 gange mere dødelighed - israelske forskere taler om en ny Holocaust&quot;,
                             &quot;Vaccineudvikler anbefaler naturlig helbredelse i stedet for vaccination.&quot;,
                             &quot;Verdenssundhedsorganisationen (WHO) bekræfter ved et ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&quot;,
                             &quot;Covid-19 er planlagt! Millioner af Covid-19 testsæt blev solgt i 2017 og 2018!&quot;, 
                             &quot;50 procent af coronapatienterne på sygehuse kommer fra arabiske lande.&quot;,
                             &quot;Sygehuse modtager bagudrettet &#39;provision&#39;, hvis Covid-19 angives som dødsårsag.&quot;,
                             &quot;Skandale på plejehjem. 8 ud af 31 døde efter tvungen BioNTech/Pfizer vaccine.&quot;,
                             &quot;Bill Gates udnytter massevaccinationer til hemmelig plan.&quot;,
                             &quot;Johns Hopkins University bekræfter: Du kan blive vaccineret med en PCR-test uden at vide det.&quot;,
                             &quot;920 kvinder mister deres ufødte børn efter vaccination&quot;,
                             &quot;The Lancet afslører bedrag: Covid-19 Vaccinernes effektivitet er på 1.2% IKKE 90–95%&quot;,
                             &quot;FN’s sundhedseksperter indrømmer, at giftige vaccineingredienser skader børn over hele verden&quot;,
                             &quot;Pfizer-dokument bekræfter: Kontakt med vaccinerede fører til menstruationssmerter og abort&quot;,
                             &quot;Dødstallet fra vaccinerne overstiger nu dødstallet fra covid-19&quot;,
                             &quot;Danmark sætter AstraZeneca-vaccine på pause: Mistanke om bivirkninger med blodpropper&quot;,
                             &quot;Andet stik af vaccinen mod corona giver flere bivirkninger: Fire procent oplever bivirkninger efter første vaccination mod Covid-19&quot;,
                             &quot;Forskere: Problematisk at studiet bag AstraZeneca-beslutning ikke er offentligt tilgængeligt&quot;,
                             &quot;Hver fjerde med corona er ikkevestlig indvandrer eller efterkommer&quot;,
                             &quot;Danmark og Sverige gik hver sin vej, da coronakrisen ramte - sådan er det gået&quot;,
                             &quot;Tredje sag med omdiskuteret corona-paragraf: Risikerer dobbeltstraf for at kaste fyrværkeri&quot;,
                             &quot;Ny undersøgelse: Corona-nedlukning og hjemmearbejde giver dårlig trivsel blandt medarbejderne&quot;,
                             &quot;Tre tilskuere testet positiv med variant - Heunicke opfordrer 4000 til at blive testet&quot;,
                             &quot;Sundhedsprofessor: Vi bruger »grotesk« mange penge på coronaen&quot;,
                             &quot;9 af 10 børn har ikke rørt sig nok under corona. Vinterens nedlukning har ført til inaktivitet hos børn og unge, viser undersøgelse.&quot;,
                             &quot;Tysk epidemiolog nedtoner vaccinerisiko: Corona er meget værre&quot;,
                             &quot;Norsk sundhedsansat er død efter blodprop efter vaccine. Det undersøges, om der er en sammenhæng mellem AstraZeneca …&quot;,
                             &quot;Studie: Folk med lav virusmængde smitter mere end antaget&quot;,
                             &quot;I dag bliver den første danske kommune færdigvaccineret&quot;,
                             &quot;Corona har kostet dyrt: Tivoli får underskud på 143 millioner kroner&quot;,
                             &quot;Corona skubber flere ud i ekstrem fattigdom: Nye pandemier kan få nemmere fat&quot;,
                             &quot;Så mange danskere har taget på under coronakrisen: ”Det er et kæmpe eksperiment med vores sundhed”&quot;,
                             &quot;Sundhedsministeriet afviste at støtte lovende dansk vaccine trods anbefaling&quot;,
                             &quot;Psykologformand: De mentale følgevirkninger af corona vil sidde i os og samfundet i lang tid&quot;,
                             &quot;Åndenød og huller i hukommelsen: Patienter står i kø med senfølger efter corona&quot;,
                             &quot;Influencer anmeldt for skjult reklame for tøj og tandbehandlinger&quot;,
                             &quot;Unge føler mere stress, ensomhed og nedtrykthed - skyldes det sociale medier?&quot;,
                             &quot;Matador genudsendes: Ser Lise Nørgaard mon selv serien?&quot;,
                             &quot;Forskere opdager forbløffende mange supertunge stjerner&quot;))


df &lt;- df %&gt;% 
  mutate(headline3 = case_when(str_detect(headline, &quot;^f&quot;) ~ &quot;fake&quot;,
                              str_detect(headline, &quot;^r&quot;) ~ &quot;real&quot;,
                              str_detect(headline, &quot;^n&quot;) ~ &quot;non&quot;
                              ))




# attempt to str_remove
df$order_1 &lt;- str_remove(df$order_1, &quot;Headline &quot;)
df$order_2 &lt;- str_remove(df$order_2, &quot;Headline &quot;)
df$order_3 &lt;- str_remove(df$order_3, &quot;Headline &quot;)
df$order_4 &lt;- str_remove(df$order_4, &quot;Headline &quot;)
df$order_5 &lt;- str_remove(df$order_5, &quot;Headline &quot;)
df$order_6 &lt;- str_remove(df$order_6, &quot;Headline &quot;)
df$order_7 &lt;- str_remove(df$order_7, &quot;Headline &quot;)
df$order_8 &lt;- str_remove(df$order_8, &quot;Headline &quot;)
df$order_9 &lt;- str_remove(df$order_9, &quot;Headline &quot;)
df$order_10 &lt;- str_remove(df$order_10, &quot;Headline &quot;)
df$order_11 &lt;- str_remove(df$order_11, &quot;Headline &quot;)
df$order_12 &lt;- str_remove(df$order_12, &quot;Headline &quot;)
df$order_13 &lt;- str_remove(df$order_13, &quot;Headline &quot;)
df$order_14 &lt;- str_remove(df$order_14, &quot;Headline &quot;)
df$order_15 &lt;- str_remove(df$order_15, &quot;Headline &quot;)
df$order_16 &lt;- str_remove(df$order_16, &quot;Headline &quot;)
df$order_17 &lt;- str_remove(df$order_17, &quot;Headline &quot;)
df$order_18 &lt;- str_remove(df$order_18, &quot;Headline &quot;)
df$order_19 &lt;- str_remove(df$order_19, &quot;Headline &quot;)
df$order_20 &lt;- str_remove(df$order_20, &quot;Headline &quot;)
df$order_21 &lt;- str_remove(df$order_21, &quot;Headline &quot;)
df$order_22 &lt;- str_remove(df$order_22, &quot;Headline &quot;)
df$order_23 &lt;- str_remove(df$order_23, &quot;Headline &quot;)
df$order_24 &lt;- str_remove(df$order_24, &quot;Headline &quot;)
df$order_25 &lt;- str_remove(df$order_25, &quot;Headline &quot;)
df$order_26 &lt;- str_remove(df$order_26, &quot;Headline &quot;)
df$order_27 &lt;- str_remove(df$order_27, &quot;Headline &quot;)
df$order_28 &lt;- str_remove(df$order_28, &quot;Headline &quot;)
df$order_29 &lt;- str_remove(df$order_29, &quot;Headline &quot;)
df$order_30 &lt;- str_remove(df$order_30, &quot;Headline &quot;)
df$order_31 &lt;- str_remove(df$order_31, &quot;Headline &quot;)
df$order_32 &lt;- str_remove(df$order_32, &quot;Headline &quot;)
df$order_33 &lt;- str_remove(df$order_33, &quot;Headline &quot;)
df$order_34 &lt;- str_remove(df$order_34, &quot;Headline &quot;)
df$order_35 &lt;- str_remove(df$order_35, &quot;Headline &quot;)
df$order_36 &lt;- str_remove(df$order_36, &quot;Headline &quot;)
df$order_37 &lt;- str_remove(df$order_37, &quot;Headline &quot;)
df$order_38 &lt;- str_remove(df$order_38, &quot;Headline &quot;)
df$order_39 &lt;- str_remove(df$order_39, &quot;Headline &quot;)
df$order_40 &lt;- str_remove(df$order_40, &quot;Headline &quot;)
df$order_41 &lt;- str_remove(df$order_41, &quot;Headline &quot;)
df$order_42 &lt;- str_remove(df$order_42, &quot;Headline &quot;)
df$order_43 &lt;- str_remove(df$order_43, &quot;Headline &quot;)
df$order_44 &lt;- str_remove(df$order_44, &quot;Headline &quot;)


# Create order variable where headline = order position
df &lt;- df %&gt;% 
  mutate(order = case_when(
    headline == order_1 ~ 1,    headline == order_2 ~ 2,
    headline == order_3 ~ 3,    headline == order_4 ~ 4,
    headline == order_5 ~ 5,    headline == order_6 ~ 6,
    headline == order_7 ~ 7,    headline == order_8 ~ 8,
    headline == order_9 ~ 9,    headline == order_10 ~ 10,
    headline == order_11 ~ 11,    headline == order_12 ~ 12,
    headline == order_13 ~ 13,    headline == order_14 ~ 14,
    headline == order_15 ~ 15,    headline == order_16 ~ 16,
    headline == order_17 ~ 17,    headline == order_18 ~ 18,
    headline == order_19 ~ 19,    headline == order_20 ~ 20,
    headline == order_21 ~ 21,    headline == order_22 ~ 22,
    headline == order_23 ~ 23,    headline == order_24 ~ 24,
    headline == order_25 ~ 25,    headline == order_26 ~ 26,
    headline == order_27 ~ 27,    headline == order_28 ~ 28,
    headline == order_29 ~ 29,    headline == order_30 ~ 30,
    headline == order_31 ~ 31,    headline == order_32 ~ 32,
    headline == order_33 ~ 33,    headline == order_34 ~ 34,
    headline == order_35 ~ 35,    headline == order_36 ~ 36,
    headline == order_37 ~ 37,    headline == order_38 ~ 38,
    headline == order_39 ~ 39,    headline == order_40 ~ 40,
    headline == order_41 ~ 41,    headline == order_42 ~ 42,
    headline == order_43 ~ 43,    headline == order_44 ~ 44)
    )


# Save dataset
wave_pretest &lt;- df %&gt;% 
  dplyr::select(resid, rating, headline, headline_text, order, headline3)


save(wave_pretest, file = here::here(&quot;wave_pretest.Rdata&quot;))
# save(dataobjectname, file = here::here(&quot;foldername&quot;, &quot;namefile&quot;))</code></pre>
</div>
<div id="wave-1" class="section level2">
<h2>Wave 1</h2>
<pre class="r"><code>dfraw &lt;- read_dta(here::here(&quot;wave1.dta&quot;))

# Clean names
df_clean &lt;- clean_names(dfraw)
df &lt;- df_clean

# Rename caseid
df &lt;- df %&gt;%
  dplyr::rename(resid = caseid)
  

df$wave &lt;- 1

############### RECODINGS
# some_user_1:8
df %&gt;% 
  dplyr::select(some_user_1,
                some_user_2,
                some_user_3,
                some_user_4,
                some_user_5,
                some_user_6,
                some_user_7,
                some_user_8) %&gt;% 
  datasummary_skim()</code></pre>
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<tr>
<th style="text-align:left;">
</th>
<th style="text-align:right;">
Unique (#)
</th>
<th style="text-align:right;">
Missing (%)
</th>
<th style="text-align:right;">
Mean
</th>
<th style="text-align:right;">
SD
</th>
<th style="text-align:right;">
Min
</th>
<th style="text-align:right;">
Median
</th>
<th style="text-align:right;">
Max
</th>
<th style="text-align:right;">
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
Facebook
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.8
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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</tr>
<tr>
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Twitter
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.2
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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<tr>
<td style="text-align:left;">
Snapchat
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.3
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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WhatsApp
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.2
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
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<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
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<td style="text-align:right;">
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TikTok
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.1
</td>
<td style="text-align:right;">
0.3
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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YouTube
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<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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Instagram
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2
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0
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0.5
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0.5
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0.0
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0.0
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1.0
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Ikke relevant
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2
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0
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0.1
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<pre class="r"><code>names(df)[names(df) == &quot;some_user_1&quot;] &lt;- &quot;facebook_user&quot;


# intention_share_new_1:9(other)

# screener1_1:9(other)

df$screener1_other = tolower(df$screener1_other) # Convert values in column to lowercase
df$screen_nyheder &lt;-
  ifelse(grepl(&quot;nyheder&quot;, df$screener1_other), 1,
         ifelse(grepl(&quot;nyhedwr&quot;, df$screener1_other), 1,
                ifelse(grepl(&quot;nyhedder&quot;, df$screener1_other), 1,
                       ifelse(grepl(&quot;nydeder&quot;, df$screener1_other), 1, 0))))  # If screener contains correct value = 1. # We include misspellings, but not &quot;nyhederne&quot; as it refers to an actual program

df$screen_nyheder &lt;- factor(df$screen_nyheder, 
                     levels = c(0, 
                                1),
                     labels = c(&quot;Fail&quot;,
                                &quot;Pass&quot;))



########## acc_importance ---------------------------------
df &lt;- df %&gt;% 
  mutate(acc_importance = factor(acc_importance,
                                 levels = c(1,2,3,4),
                                 labels = c(&quot;Slet ikke&quot;,
                                            &quot;I mindre grad&quot;,
                                            &quot;I nogen grad&quot;,
                                            &quot;I høj grad&quot;)))

#### Recode vaccine intention to a yes/no vaccine intention -----------------
df &lt;- df %&gt;% 
  mutate(vaccine_intention2 = factor(vaccine_intention,
                                 levels = c(1,2,3,4,5,6),
                                 labels = c(&quot;Yes&quot;,
                                            &quot;Yes&quot;,
                                            &quot;Yes&quot;,
                                            &quot;No&quot;,
                                            &quot;Yes&quot;,
                                            &quot;No&quot;)))
##### trust_inst1_1:5 ------------------------------------------
df$trust_inst1_1[df$trust_inst1_1== 97 ] &lt;- NA
df$trust_inst1_2[df$trust_inst1_2== 97 ] &lt;- NA
df$trust_inst1_3[df$trust_inst1_3== 97 ] &lt;- NA
df$trust_inst1_4[df$trust_inst1_4== 97 ] &lt;- NA
df$trust_inst1_5[df$trust_inst1_5== 97 ] &lt;- NA

# Change to intuitive names
names(df)[names(df) == &quot;trust_inst1_1&quot;] &lt;- &quot;trust_health&quot;
names(df)[names(df) == &quot;trust_inst1_2&quot;] &lt;- &quot;trust_police&quot;
names(df)[names(df) == &quot;trust_inst1_3&quot;] &lt;- &quot;trust_media&quot;
names(df)[names(df) == &quot;trust_inst1_4&quot;] &lt;- &quot;trust_science&quot;
names(df)[names(df) == &quot;trust_inst1_5&quot;] &lt;- &quot;trust_govern&quot;

#p &lt;- ggplot(data = df,
#            mapping = aes(x = trust_govern))
#p + geom_histogram()

df &lt;- df %&gt;% 
  mutate(index_trust = (trust_health+trust_police+trust_media+trust_science+trust_govern)/5)

# Test alpha
alpha_trust &lt;- data.frame(df[, c(&quot;trust_health&quot;,
                  &quot;trust_police&quot;,
                  &quot;trust_media&quot;,
                  &quot;trust_science&quot;,
                  &quot;trust_govern&quot;)]) %&gt;%  # assign columns to a dataframe &quot;scale1&quot;
  psych::alpha() # calculate cronbachs alpha</code></pre>
<pre><code>## Number of categories should be increased  in order to count frequencies.</code></pre>
<pre class="r"><code># Rescale and relabel - health
df$trust_health &lt;- rescale(as.numeric(df$trust_health))
val_labels(df$trust_health) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)

# Rescale and relabel - police
df$trust_police &lt;- rescale(as.numeric(df$trust_police))
val_labels(df$trust_police) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)

# Rescale and relabel - media
df$trust_media &lt;- rescale(as.numeric(df$trust_media))
val_labels(df$trust_media) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)

# Rescale and relabel - science
df$trust_science &lt;- as.numeric(df$trust_science)
df$trust_science &lt;- rescale(df$trust_science)
val_labels(df$trust_science) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)

# Rescale and relabel
df$trust_govern &lt;- rescale(as.numeric(df$trust_govern))
val_labels(df$trust_govern) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)

df$index_trust &lt;- rescale(as.numeric(df$index_trust))
val_labels(df$index_trust) &lt;- c(&quot;Slet ingen tillid&quot; = 0, &quot;Fuld tillid&quot; = 1)


####### polknow1_1:11 --------------------------------------

# polkno23, polknow3, polknow4



###################################################################################################
#################                   INDEX     ###################################################
###################################################################################################

# social comparison -----------------------------------------------------

# Create index for attention to social comparison: socialcompar_1:13
df$socialcompar_13rev &lt;- dplyr::recode(df$socialcompar_13, 
       `1`=7, 
       `2`=6, 
       `3`=5, 
       `5`=3, 
       `6`=2, 
       `7`=1)

df &lt;- df %&gt;% 
  mutate(index_socialcom = (socialcompar_1+
                      socialcompar_2+
                      socialcompar_3+
                      socialcompar_4+
                      socialcompar_5+
                      socialcompar_6+
                      socialcompar_7+
                      socialcompar_8+
                      socialcompar_9+
                      socialcompar_10+
                      socialcompar_11+
                      socialcompar_12+
                      socialcompar_13rev))


df$index_socialcom &lt;- rescale(as.numeric(df$index_socialcom, to = c(0,1)))  # Rescale to 0-1

socialcom_label &lt;- c(&quot;Low social attention&quot; = 0,
                 &quot;High social attention&quot; = 1)
val_labels(df$index_socialcom) &lt;- socialcom_label

p &lt;- ggplot(data = df,
            mapping = aes(x = index_socialcom))
p + geom_histogram(bins =30)</code></pre>
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gQIECBAgAABAgQIECBQFRCAVkW0CRAgQIAAAQIECBAgQIAAAQIECBDIRkAAmk0pbYQAAQIECBAgQIAAAQIECBAgQIAAgaqAALQqok2AAAECBAgQIECAAAECBAgQIECAQDYCAtBsSmkjBAgQIECAAAECBAgQIECAAAECBAhUBQSgVRFtAgQIECBAgAABAgQIECBAgAABAgSyERCAZlNKGyFAgAABAgQIECBAgAABAgQIECBAoCogAK2KaBMgQIAAAQIECBAgQIAAAQIECBAgkI2AADSbUtoIAQIECBAgQIAAAQIECBAgQIAAAQJVAQFoVUSbAAECBAgQIECAAAECBAgQIECAAIFsBASg2ZTSRggQIECAAAECBAgQIECAAAECBAgQqAoIQKsi2gQIECBAgAABAgQIECBAgAABAgQIZCMgAM2mlDZCgAABAgQIECBAgAABAgQIECBAgEBVQABaFdEmQIAAAQIECBAgQIAAAQIECBAgQCAbAQFoNqW0EQIECBAgQIAAAQIECBAgQIAAAQIEqgIC0KqINgECBAgQIECAAAECBAgQIECAAAEC2QgIQLMppY0QIECAAAECBAgQIECAAAECBAgQIFAVEIBWRbQJECBAgAABAgQIECBAgAABAgQIEMhGQACaTSlthAABAgQIECBAgAABAgQIECBAgACBqoAAtCqiTYAAAQIECBAgQIAAAQIECBAgQIBANgIC0GxKaSMECBAgQIAAAQIECBAgQIAAAQIECFQFBKBVEW0CBAgQIECAAAECBAgQIECAAAECBLIREIBmU0obIUCAAAECBAgQIECAAAECBAgQIECgKiAArYpoEyBAgAABAgQIECBAgAABAgQIECCQjYAANJtS2ggBAgQIECBAgAABAgQIECBAgAABAlUBAWhVRJsAAQIECBAgQIAAAQIECBAgQIAAgWwEBKDZlNJGCBAgQIAAAQIECBAgQIAAAQIECBCoCghAqyLaBAgQIECAAAECBAgQIECAAAECBAhkIyAAzaaUNkKAAAECBAgQIECAAAECBAgQIECAQFVAAFoV0SZAgAABAgQIECBAgAABAgQIECBAIBsBAWg2pbQRAgQIECBAgAABAgQIECBAgAABAgSqAgLQqog2AQIECBAgQIAAAQIECBAgQIAAAQLZCAhAsymljRAgQIAAAQIECBAgQIAAAQIECBAgUBUQgFZFtAkQIECAAAECBAgQIECAAAECBAgQyEZAAJpNKW2EAAECBAgQIECAAAECBAgQIECAAIGqgAC0KqJNgAABAgQIECBAgAABAgQIECBAgEA2AgLQbEppIwQIECBAgAABAgQIECBAgAABAgQIVAUEoFURbQIECBAgQIAAAQIECBAgQIAAAQIEshEQgGZTShshQIAAAQIECBAgQIAAAQIECBAgQKAqIACtimgTIECAAAECBAgQIECAAAECBAgQIJCNgAA0m1LaCAECBAgQIECAAAECBAgQIECAAAECVQEBaFVEmwABAgQIECBAgAABAgQIECBAgACBbAQEoNmU0kYIECBAgAABAgQIECBAgAABAgQIEKgKCECrItoECBAgQIAAAQIECBAgQIAAAQIECGQjIADNppQ2QoAAAQIECBAgQIAAAQIECBAgQIBAVUAAWhXRJkCAAAECBAgQIECAAAECBAgQIEAgGwEBaDaltBECBAgQIECAAAECBAgQIECAAAECBKoCAtCqiDYBAgQIECBAgAABAgQIECBAgAABAtkICECzKaWNECBAgAABAgQIECBAgAABAgQIECBQFRCAVkW0CRAgQIAAAQIECBAgQIAAAQIECBDIRkAAmk0pbYQAAQIECBAgQIAAAQIECBAgQIAAgaqAALQqok2AAAECBAgQIECAAAECBAgQIECAQDYCAtBsSmkjBAgQIECAAAECBAgQIECAAAECBAhUBQSgVRFtAgQIECBAgAABAgQIECBAgAABAgSyERCAZlNKGyFAgAABAgQIECBAgAABAgQIECBAoCogAK2KaBMgQIAAAQIECBAgQIAAAQIECBAgkI2AADSbUtoIAQIECBAgQIAAAQIECBAgQIAAAQJVAQFoVUSbAAECBAgQIECAAAECBAgQIECAAIFsBASg2ZTSRggQIECAAAECBAgQIECAAAECBAgQqAoIQKsi2gQIECBAgAABAgQIECBAgAABAgQIZCMgAM2mlDZCgAABAgQIECBAgAABAgQIECBAgEBVQABaFdEmQIAAAQIECBAgQIAAAQIECBAgQCAbAQFoNqW0EQIECBAgQIAAAQIECBAgQIAAAQIEqgIC0KqINgECBAgQIECAAAECBAgQIECAAAEC2QgIQLMppY0QIECAAAECBAgQIECAAAECBAgQIFAVEIBWRbQJECBAgAABAgQIECBAgAABAgQIEMhGQACaTSlthAABAgQIECBAgAABAgQIECBAgACBqoAAtCqiTYAAAQIECBAgQIAAAQIECBAgQIBANgIC0GxKaSMECBAgQIAAAQIECBAgQIAAAQIECFQFBKBVEW0CBAgQIECAAAECBAgQIECAAAECBLIREIBmU0obIUCAAAECBAgQIECAAAECBAgQIECgKiAArYpoEyBAgAABAgQIECBAgAABAgQIECCQjYAANJtS2ggBAgQIECBAgAABAgQIECBAgAABAlUBAWhVRJsAAQIECBAgQIAAAQIECBAgQIAAgWwEBKDZlNJGCBAgQIAAAQIECBAgQIAAAQIECBCoCghAqyLaBAgQIECAAAECBAgQIECAAAECBAhkIyAAzaaUNkKAAAECBAgQIECAAAECBAgQIECAQFVAAFoV0SZAgAABAgQIECBAgAABAgQIECBAIBsBAWg2pbQRAgQIECBAgAABAgQIECBAgAABAgSqAgLQqog2AQIECBAgQIAAAQIECBAgQIAAAQLZCAhAsymljRAgQIAAAQIECBAgQIAAAQIECBAgUBUQgFZFtAkQIECAAAECBAgQIECAAAECBAgQyEZAAJpNKW2EAAECBAgQIECAAAECBAgQIECAAIGqgAC0KqJNgAABAgQIECBAgAABAgQIECBAgEA2AgLQbEppIwQIECBAgAABAgQIECBAgAABAgQIVAUEoFURbQIECBAgQIAAAQIECBAgQIAAAQIEshEQgGZTShshQIAAAQIECBAgQIAAAQIECBAgQKAqIACtimgTIECAAAECBAgQIECAAAECBAgQIJCNgAA0m1LaCAECBAgQIECAAAECBAgQIECAAAECVQEBaFVEmwABAgQIECBAgAABAgQIECBAgACBbAQEoNmU0kYIECBAgAABAgQIECBAgAABAgQIEKgKCECrItoECBAgQIAAAQIECBAgQIAAAQIECGQjIADNppQ2QoAAAQIECBAgQIAAAQIECBAgQIBAVUAAWhXRJkCAAAECBAgQIECAAAECBAgQIEAgGwEBaDaltBECBAgQIECAAAECBAgQIECAAAECBKoCAtCqiDYBAgQIECBAgAABAgQIECBAgAABAtkICECzKaWNECBAgAABAgQIECBAgAABAgQIECBQFRCAVkW0CRAgQIAAAQIECBAgQIAAAQIECBDIRkAAmk0pbYQAAQIECBAgQIAAAQIECBAgQIAAgaqAALQqok2AAAECBAgQIECAAAECBAgQIECAQDYCAtBsSmkjBAgQIECAAAECBAgQIECAAAECBAhUBQSgVRFtAgQIECBAgAABAgQIECBAgAABAgSyERCAZlNKGyFAgAABAgQIECBAgAABAgQIECBAoCogAK2KaBMgQIAAAQIECBAgQIAAAQIECBAgkI2AADSbUtoIAQIECBAgQIAAAQIECBAgQIAAAQJVAQFoVUSbAAECBAgQIECAAAECBAgQIECAAIFsBASg2ZTSRggQIECAAAECBAgQIECAAAECBAgQqAoIQKsi2gQIECBAgAABAgQIECBAgAABAgQIZCMgAM2mlDZCgAABAgQIECBAgAABAgQIECBAgEBVYHK1o9fbv//97+NrX/taLFu2LFavXh0HHXRQzJo1K4488siNbm3t2rVxxRVXxF133RUrV66MGTNmxMyZM2NgYCAmTZrUclwnY1reSCcBAgQIECBAgAABAgQIECBAgAABAuMmkFUA+pOf/CTOPPPMWLNmTQm23Xbbxb333hvf+ta34jWveU2cfvrpzws0n3jiiTj11FPjwQcfLMfstNNOMTg4WP67/fbbY+HChTFlypRhBehkzLAbaBAgQIAAAQIECBAgQIAAAQIECBAgkEQgm6/AP/roo/FP//RPZfh53HHHxWWXXRZXX311nHfeeTF9+vS47rrr4sILL3we6kc/+tEy/JwzZ05cc801ceWVV8all14a++67b9x6661xwQUX1DLmeTfRQYAAAQIECBAgQIAAAQIECBAgQIDAuAtkE4AWT22uWrUq9txzz1iwYEHsscce5dOec+fOjRNPPLGEvPnmm4eB3nPPPXHnnXfG1ltvHYsWLYpp06aV54t7fPKTnyzHX3/99eV9GwM7GdMY6y8BAgQIECBAgAABAgQIECBAgAABAmkFsglAi6+7H3bYYWXYOXHi8G0dfvjhpeojjzxS/sZng7gRiB5xxBGx1VZbNbrLv8VX4Yv7PfPMM1GEoI1PJ2MaY/0lQIAAAQIECBAgQIAAAQIECBAgQCCtwPCkMO3ctc527LHHxic+8Ynytz6rN16+fHnZVTwVuuOOOzZPL126tDwuvv7e6lMEoMXn7rvvbp7uZExzsAMCBAgQIECAAAECBAgQIECAAAECBJIKZPUSpKpc8ab2JUuWxKc+9anyVBGSDv08/PDDZXOHHXYY2t08bvQ3XpBUnOhkTPOGQw6+8IUvxNNPPz2k5/8PizfR+xAgQIAAAQIECBAgQIAAAQIECBAgMHaBbAPQf/mXfym/ul58hX3SpElxxhlnxMDAwDCxp556qmw3gs5hJ//U2H777cuuxnVFo3HczpjyJpX/XHTRRfH4449Xev+3eeihh7bs10mAAAECBAgQIECAAAECBAgQIECAQHsC2XwFvrrt//iP/4hddtklJk+eHOvXr4/itzt/97vfNS977rnnyjfGFx3F74e2+kydOrXsLp4kLT6djCkH+g8BAgQIECBAgAABAgQIECBAgAABAptFINsnQC+55JKYMGFCPPvss/HVr341vvzlL8ddd90V559/fhx88MFRvCipePv76tWroxFwVivQ6J8yZUp5qpMx1Xs22meffXb5gqVGe+jf733ve/HHP/5xaJdjAgQIECBAgAABAgQIECBAgAABAgQ6EMg2AC3Cz+KzxRZbxCmnnBK//e1v47vf/W585StfieLr8cWneEK0+H3PVatWle3qfxr92267bfNUJ2Oag4ccvOIVrxjSGn54xx13DO/QIkCAAAECBAgQIECAAAECBAgQIECgI4FsvwJf1TjqqKPKrnvvvbd5qggzi08j6Gye+L+DJ598sjwa+ub4TsZU76tNgAABAgQIECBAgAABAgQIECBAgEAagWwC0OLJzkWLFsUjjzzSUq54ErT4FL8J2vjstttu5eHy5csbXcP+NvoPPPDAZn8nY5qDHRAgQIAAAQIECBAgQIAAAQIECBAgkFQgmwD0zjvvjBtuuCFuueWWloBLliwp+/fbb7/m+Xnz5pXHN954Y7OvcVC88Oimm24qmzNnzmx0RydjmoMdECBAgAABAgQIECBAgAABAgQIECCQVCCbALQRTBZPgj788MPDEIvw87LLLiv7jj322Oa5uXPnxvTp02PZsmVx/fXXN/uLg+IlSo899ljsvffeMWfOnOa5TsY0BzsgQIAAAQIECBAgQIAAAQIECBAgQCCpwP9/HzzptPVPVgSbP/7xj6N4gdBb3/rWmD17dsyaNSt+/etfl09ybtiwIY4//vgoAszGp3hR0vz58+MjH/lInHvuueXYGTNmxC9+8YvyuPja/Omnn16+TX4sYxpj/SVAgAABAgQIECBAgAABAgQIECBAIK3AhD8FgxvSTjl+sz3zzDPx9a9/PS6++OJYu3Ztc6LidzsXLFgQRx55ZLNv6EHxhGgRgP7ud79rdhdPhr7//e+Pl770pc2+oQedjBk6flPHZ555Ztx9991x1VVXbeoy5wgQIECAAAECBMZZYGBgYJxn6Oz2g4ODnQ00igABAgQIECDQYwJFxnfIIYfEOeecE8cdd1xHq8/mCdBi91OmTIl3vvOd8ba3vS0eeuihWLlyZey1116x8847bxKneFL08ssvL7/y/uCDD0YRmO6+++4xceLGfyGgkzGbXISTBAgQIECAAAECBAgQIECAAAECBAjULpBVANrQKd70XjzBWfxr51MEpSOFpdX7dTKmeg9tAgQIECBAgAABAgQIECBAgAABAgTGR2DjjziOz3zuSoAAAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1gAA0tbj5CBAgQIAAAQIECBAgQIAAAQIECBBIJiAATUZtIgIECBAgQIAAAQIECBAgQIAAAQIEUgsIQFOLm48AAQIECBAgQIAAAQIECBAgQIAAgWQCAtBk1CYiQIAAAQIECBAgQIAAAQIECBAgQCC1wOTUE5qPAAECBAgQINBvAgMDA1235cHBwa5bkwURIECAAAECBAgQGA8BT4COh6p7EiBAgAABAgQIECBAgAABAgQIECDQFQIC0K4og0UQIECAAAECBAgQIECAAAECBAgQIDAeAgLQ8VB1TwIECBAgQIAAAQIECBAgQIAAAQIEukJAANoVZbAIAgQIECBAgAABAgQIECBAgAABAgTGQ8BLkMZD1T0JECBAgAABAgTaFujGl0W1vQkDCBAgQIAAAQIEuk7AE6BdVxILIkCAAAECBAgQIECAAAECBAgQIECgLgEBaF2S7kOAAAECBAgQIECAAAECBAgQIECAQNcJCEC7riQWRIAAAQIECBAgQIAAAQIECBAgQIBAXQIC0Lok3YcAAQIECBAgQIAAAQIECBAgQIAAga4TEIB2XUksiAABAgQIECBAgAABAgQIECBAgACBugQEoHVJug8BAgQIECBAgAABAgQIECBAgAABAl0nIADtupJYEAECBAgQIECAAAECBAgQIECAAAECdQkIQOuSdB8CBAgQIECAAAECBAgQIECAAAECBLpOQADadSWxIAIECBAgQIAAAQIECBAgQIAAAQIE6hIQgNYl6T4ECBAgQIAAAQIECBAgQIAAAQIECHSdgAC060piQQQIECBAgAABAgQIECBAgAABAgQI1CUgAK1L0n0IECBAgAABAgQIECBAgAABAgQIEOg6AQFo15XEgggQIECAAAECBAgQIECAAAECBAgQqEtAAFqXpPsQIECAAAECBAgQIECAAAECBAgQINB1AgLQriuJBREgQIAAAQIECBAgQIAAAQIECBAgUJeAALQuSfchQIAAAQIECBAgQIAAAQIECBAgQKDrBASgXVcSCyJAgAABAgQIECBAgAABAgQIECBAoC4BAWhdku5DgAABAgQIECBAgAABAgQIECBAgEDXCQhAu64kFkSAAAECBAgQIECAAAECBAgQIECAQF0CAtC6JN2HAAECBAgQIECAAAECBAgQIECAAIGuExCAdl1JLIgAAQIECBAgQIAAAQIECBAgQIAAgboEBKB1SboPAQIECBAgQIAAAQIECBAgQIAAAQJdJyAA7bqSWBABAgQIECBAgAABAgQIECBAgAABAnUJCEDrknQfAgQIECBAgAABAgQIECBAgAABAgS6TkAA2nUlsSACBAgQIECAAAECBAgQIECAAAECBOoSEIDWJek+BAgQIECAAAECBAgQIECAAAECBAh0nYAAtOtKYkEECBAgQIAAAQIECBAgQIAAAQIECNQlIACtS9J9CBAgQIAAAQIECBAgQIAAAQIECBDoOgEBaNeVxIIIECBAgAABAgQIECBAgAABAgQIEKhLQABal6T7ECBAgAABAgQIECBAgAABAgQIECDQdQIC0K4riQURIECAAAECBAgQIECAAAECBAgQIFCXgAC0Lkn3IUCAAAECBAgQIECAAAECBAgQIECg6wQEoF1XEgsiQIAAAQIECBAgQIAAAQIECBAgQKAuAQFoXZLuQ4AAAQIECBAgQIAAAQIECBAgQIBA1wkIQLuuJBZEgAABAgQIECBAgAABAgQIECBAgEBdAgLQuiTdhwABAgQIECBAgAABAgQIECBAgACBrhMQgHZdSSyIAAECBAgQIECAAAECBAgQIECAAIG6BASgdUm6DwECBAgQIECAAAECBAgQIECAAAECXScgAO26klgQAQIECBAgQIAAAQIECBAgQIAAAQJ1CQhA65J0HwIECBAgQIAAAQIECBAgQIAAAQIEuk5AANp1JbEgAgQIECBAgAABAgQIECBAgAABAgTqEhCA1iXpPgQIECBAgAABAgQIECBAgAABAgQIdJ2AALTrSmJBBAgQIECAAAECBAgQIECAAAECBAjUJSAArUvSfQgQIECAAAECBAgQIECAAAECBAgQ6DoBAWjXlcSCCBAgQIAAAQIECBAgQIAAAQIECBCoS0AAWpek+xAgQIAAAQIECBAgQIAAAQIECBAg0HUCAtCuK4kFESBAgAABAgQIECBAgAABAgQIECBQl4AAtC5J9yFAgAABAgQIECBAgAABAgQIECBAoOsEBKBdVxILIkCAAAECBAgQIECAAAECBAgQIECgLgEBaF2S7kOAAAECBAgQIECAAAECBAgQIECAQNcJCEC7riQWRIAAAQIECBAgQIAAAQIECBAgQIBAXQIC0Lok3YcAAQIECBAgQIAAAQIECBAgQIAAga4TEIB2XUksiAABAgQIECBAgAABAgQIECBAgACBugQEoHVJug8BAgQIECBAgAABAgQIECBAgAABAl0nIADtupJYEAECBAgQIECAAAECBAgQIECAAAECdQkIQOuSdB8CBAgQIECAAAECBAgQIECAAAECBLpOQADadSWxIAIECBAgQIAAAQIECBAgQIAAAQIE6hIQgNYl6T4ECBAgQIAAAQIECBAgQIAAAQIECHSdgAC060piQQQIECBAgAABAgQIECBAgAABAgQI1CUgAK1L0n0IECBAgAABAgQIECBAgAABAgQIEOg6gcldt6IxLuixxx6Lb3zjG3H//ffHI488Ervttlvss88+cfzxx8euu+7a8u5r166NK664Iu66665YuXJlzJgxI2bOnBkDAwMxadKk2sa0vJFOAgQIECBAgAABAgQIECBAgAABAgTGTSCrAPTmm2+Oc889N1avXl0GlzvvvHMsXrw47rzzzrjqqqvigx/8YMybN28Y5hNPPBGnnnpqPPjgg2X/TjvtFIODg+W/22+/PRYuXBhTpkwZ85hhN9AgQIAAAQIECBAgQIAAAQIECBAgQCCJQDZfgX/44Yeb4edJJ50UN9xwQ3zzm98s/5544ollKPrxj3+8GXQ2dD/60Y+WfXPmzIlrrrkmrrzyyrj00ktj3333jVtvvTUuuOCCxqXNv52MaQ52QIAAAQIECBAgQIAAAQIECBAgQIBAMoFsAtCrr766DDlf/vKXx8knnxxbbrlliVj8nT9/fhx55JGxZs2aKK5rfO65557y6dCtt946Fi1aFNOmTStP7bnnnvHJT36yfIr0+uuvj1WrVjWGRCdjmoMdECBAgAABAgQIECBAgAABAgQIECCQVCCbAHTJkiUl3OGHH94SsHjCs/j8+te/bp4vvjJffI444ojYaqutyuPGf4qvwh922GHxzDPPRBGCNj6djGmM9ZcAAQIECBAgQIAAAQIECBAgQIAAgbQCtQegn/vc5+K0004rn5Qc7VaKr5S/7GUvi4997GOjHfK864qvql922WUxd+7c550rOh5//PGyf4cddmieX7p0aXncCEebJ/7voAhAi8/dd9/9fz0RnYxpDnZAgAABAgQIECBAgAABAgQIECBAgEBSgdoD0OI3ND/96U/HihUrRr2R4qnKO+64o63QtHrz4qvue+yxR2yzzTbVU7Fu3brmU5wHHXRQ83zxu6HFZ2go2jw5pL/xgqTiXCdjht7TMQECBAgQIECAAAECBAgQIECAAAEC6QQ261vg169fH8uWLYuf//zn5Y5bhZd1UHz2s5+Nhx56KIrf9nzta1/bvOVTTz1VHm8sAN1+++3L843rikbjuJ0x5U0q/3nzm98cxRvoW31e+MIXturWR4AAAQIECBAgQIAAAQIECBAgQIBAmwJjCkCLMPH73//+sCmfffbZsn3sscfGxImbfsC0uPa5555rjp89e3bzuK6D4o3uxb9iLf/wD//Q/K3PYt7ipUjFZ7vttms53dSpU8v+tWvXln87GdPyxn/qLJ4qbXwtv3rNLrvsUu3SJkCAAAECBAgQIECAAAECBAgQIECgA4ExBaCf+MQn4pBDDolG6Dl0/lZ9Q89Xj1/ykpfEG9/4xmr3mNrF75FefPHFZfh55plnlmtt3LAIRIu3v69evToaAWfjXONvo3/KlCllVydjGveq/p0wYUK1q9ne1LnmRQ4IECBAgAABAgQIECBAgAABAgQIEBhRYEwB6AEHHBAXXnhh/PSnP21OVLwx/b/+67/i1a9+dey1117N/lYHW2yxRWy77baxzz77RPGV8B133LHVZW33FeHrxz/+8fjud78bRXj5kY98pHzTe/VGxZOWxZOYq1atqp4q243+Yo2NTydjGmOH/r399tuHNocdF2Ht0BcvDTupQYAAAQIECBAgQIAAAQIECBAgQIDAqAXGFIAWs5xyyinlv8aMxdfiiwD0Pe95z7Df22ycH++/RWh5xhlnxJIlS6L4Dc8iCD344INbTjtSmPnkk0+W44YGs52MaTm5TgIECBAgQIAAAQIECBAgQIAAAQIExl1g0z/S2cH073jHO2LRokWx//77dzB6bEOKwHLBggVl+Plnf/Zn8e///u8bDT+LmXbbbbdywuXLl7ecuNF/4IEHNs93MqY52AEBAgQIECBAgAABAgQIECBAgAABAkkFag9ATzjhhPIJzBe/+MVJN7Jhw4b40Ic+FPfff38Zvhbh54te9KJNrmHevHnl+RtvvPF51xUvPLrpppvK/pkzZzbPdzKmOdgBAQIECBAgQIAAAQIECBAgQIAAAQJJBcb8FfhNrfbRRx+Ne++9N55++ulYt27dpi4tz+23334xY8aMEa9rdcHVV18dv/jFL6L4ivp5550X06ZNa3XZsL65c+fG9OnTY9myZVH8dmnxu6WNzyWXXBKPPfZY7L333jFnzpxGd3QypjnYAQECBAgQIECAAAECBAgQIECAAAECSQXGJQAtQs/iRT7f+c53RhV8Nna8cOHCOOussxrNUf8t3tZePPFZfH7/+9/Hscceu9GxxZOpF110UXm+eNv6/Pnzy5cknXvuuXHHHXeUAWwRpBbHxUuaTj/99Bj6VvZOxmx0MU4QIECAAAECBAgQIECAAAECBAgQIDCuArUHoMVLiI455pi47777xnXhQ2++YsWKYW9yX79+/dDTw46rT6L+1V/9VZx//vlRBKA/+MEPyn/FgOLJ0Pe///1xyCGHDBtfNDoZ87yb6CBAgAABAgQIECBAgAABAgQIECBAYNwFag9Azz777Gb4WXyd/S1veUsZJu6+++7DnqRstbNOfzf0gAMOiNtuu63VLUfVN2vWrLj88svLr7w/+OCD5cuRivVOnLjxn0jtZMyoFuMiAgQIECBAgAABAgQIECBAgAABAgRqE6g9AP3hD39YLq4ICIuXC+200061LXa8b7TzzjtH8a+dTydj2rm/awkQIECAAAECBAgQIECAAAECBAgQ6Fxg4484dnDP4qvnP//5z8uRJ598ck+Fnx1s1xACBAgQIECAAAECBAgQIECAAAECBLpcoNYAdNKkSbHtttuWWy6eAPUhQIAAAQIECBAgQIAAAQIECBAgQIDA5hSoNQAtNvIXf/EX5X4eeOCB8q//ECBAgAABAgQIECBAgAABAgQIECBAYHMJ1B6AHn300eVeLrroos21J/MSIECAAAECBAgQIECAAAECBAgQIECgFKg9AF2wYEG86U1viptvvjne+973xqpVq1ATIECAAAECBAgQIECAAAECBAgQIEBgswjU/hb4pUuXxvz58+POO++Mf/3Xf41LL700Dj300Nh7771j11133eQmi6dHjzrqqE1e4yQBAgQIECBAgAABAgQIECBAgAABAgRGK1B7APrhD384rrvuuub8//3f/x2Dg4PN9qYOJk+eLADdFJBzBAgQIECAAAECBAgQIECAAAECBAi0JVD7V+Dbmt3FBAgQIECAAAECBAgQIECAAAECBAgQGEeB2p8Aveyyy2LdunUdLXmrrbbqaJxBBAgQIECAAAECBAgQIECAAAECBAgQaCVQewA6derUVvPoI0CAAAECBAgQIECAAAECBAgQIECAQHIBX4FPTm5CAgQIECBAgAABAgQIECBAgAABAgRSCQhAU0mbhwABAgQIECBAgAABAgQIECBAgACB5AK1fwV+2bJl8cQTT3S0kT333DP22GOPjsYaRIAAAQIECBAgQIAAAQIECBAgQIAAgapA7QHoaaedFtddd111nlG1zzrrrFi4cOGornURAQIECBAgQIAAAQIECBAgQIAAAQIERhLwFfiRhJwnQIAAAQIECBAgQIAAAQIECBAgQKBnBWp/AvTv//7v4/jjj98oyPr16+PJJ5+MFStWxFVXXVX+fc1rXhOf//znY/vtt9/oOCcIECBAgAABAgQIECBAgAABAgQIECDQrkDtAei8efNGvYazzz473vSmN5VfmT/vvPPi/PPPH/VYFxIgQIAAAQIECBAgQIAAAQIECBAgQGAkgc36Ffjiic/i90KLFx996lOfiptuummk9TpPgAABAgQIECBAgAABAgQIECBAgACBUQts1gC0WOWUKVPila98ZbngW265ZdQLdyEBAgQIECBAgAABAgQIECBAgAABAgRGEtjsAWixwJe85CXlOm+77baR1us8AQIECBAgQIAAAQIECBAgQIAAAQIERi3QFQHozTffXC54iy22GPXCXUiAAAECBAgQIECAAAECBAgQIECAAIGRBDZ7AFr8BuiNN95YrnP27Nkjrdd5AgQIECBAgAABAgQIECBAgAABAgQIjFqg9rfAf+tb34rly5dvcgHr1q2Lp59+OpYsWRLXXHNNee2ECRPi1a9+9SbHOUmAAAECBAgQIECAAAECBAgQIECAAIF2BGoPQL/whS+Ub3ZvZxHFtaeffnr85V/+ZbvDXE+AAAECBAgQIECAAAECBAgQIECAAIGNCtQegG50po2cmDVrVpx66qnxrne9ayNX6CZAgAABAgQIECBAgAABAgQIECBAgEBnArUHoF/60pdi9erVI66meOHRDjvsENtss82I17qAAAECBAgQIECAAAECBAgQIECAAAECnQjUHoDutttunazDGAIECBAgQIAAAQIECBAgQIAAAQIECNQuUHsAurEV/vGPf4z7778/ttxyyyhC0h133DGKFx/5ECBAgAABAgQIECBAgAABAgQIECBAYLwEJo7XjYv7Ll26NN74xjfGi170othuu+1i5syZceCBB8bOO+8cu+66a8yfPz8WL148nktwbwIECBAgQIAAAQIECBAgQIAAAQIE+lhgXALQdevWxQc/+MEoXnB05ZVXxkMPPfQ84sceeywuuuiimDt3bvzzP//z887rIECAAAECBAgQIECAAAECBAgQIECAwFgFxuUr8Oecc04z1Cy+5n7kkUfG/vvvH3vvvXc8/fTT8Zvf/CZ+9rOfxd133x2NsHT33XePE088caz7MZ4AAQIECBAgQIAAAQIECBAgQIAAAQJNgdoD0CVLlkQRgBafl73sZfGZz3ymfBK0OeOQg6uvvjre9773xYoVK+I973l5eBEFAABAAElEQVRPHHPMMeWb4Ydc4pAAAQIECBAgQIAAAQIECBAgQIAAAQIdC9T+FfgLLrggnn322dhnn33i2muv3Wj4Waz49a9/fRQh6DbbbBPFS5IuueSSjjdiIAECBAgQIECAAAECBAgQIECAAAECBKoCtQegxdfai8/ChQtH9TTnQQcdFKeccko55gc/+EH5138IECBAgAABAgQIECBAgAABAgQIECBQh0CtX4Ffv3593HPPPeW6DjvssFGvr3Ft8dugPgQIECBAgEBvCAwMDHTlQgcHB7tyXRZFgAABAgQIECBAgMDmEaj1CdCJEyfG5Mn/m6k+9dRTo95R8WKk4jNt2rRRj3EhAQIECBAgQIAAAQIECBAgQIAAAQIERhKoNQAt3vh+wAEHlHP+8Ic/HGnu5vnbbrutPD744IObfQ4IECBAgAABAgQIECBAgAABAgQIECAwVoFaA9BiMXPmzCnXdNZZZ8Xy5ctHXN8NN9zQfPnRrFmzRrzeBQQIECBAgAABAgQIECBAgAABAgQIEBitQO0B6BlnnBFTp06NP/zhD3HEEUfEF7/4xSh+G7T6WbVqVZx99tlx3HHHxYYNG6J4+vOEE06oXqZNgAABAgQIECBAgAABAgQIECBAgACBjgVqfQlSsYoXvvCF8bGPfSwWLFgQDz30UPmG9w984APx53/+5zF9+vR45pln4oEHHoj7778/Gr/9ucUWW8RXvvKVmDJlSscbMZAAAQIECBAgQIAAAQIECBAgQIAAAQJVgdoD0GKCv/u7v4v9998/Tj755DIEXblyZSxevLj8V13AzJkz4zOf+Uz4+ntVRpsAAQIECBAgQIAAAQIECBAgQIAAgbEKjEsAWizqFa94Rfznf/5nXHjhheXfX/7yl/GrX/0qiqc9Z8yYUf47+uij46STTopJkyaNdR/GEyBAgAABAgQIECBAgAABAgQIECBA4HkC4xaAFjNNmzYtPvShDzUnLX7rs3hTvA8BAgQIECBAgAABAgQIECBAgAABAgRSCNT+EqTqotesWdPsGhp+/uQnP2n+BmjzAgcECBAgQIAAAQIECBAgQIAAAQIECBCoUWDcAtDbbrstXv/618dLX/rSlst9+9vfHrvssku87W1vi8cff7zlNToJECBAgAABAgQIECBAgAABAgQIECAwFoFxCUC/+MUvxrx58+Kaa66J++67r3zz+9BFPvfcc/Gb3/wmVq9eHV/72tfi0EMPjaVLlw69xDEBAgQIECBAgAABAgQIECBAgAABAgTGLFB7ALps2bL4m7/5m3j22WfLxb3qVa96XgBanPj2t78df/3Xfx0TJ06MBx54IN75zndGEYz6ECBAgAABAgQIECBAgAABAgQIECBAoC6B2gPQRYsWxbp16+IFL3hBfP/7349rr702pk6dOmy9Rej52te+Nj772c/GjTfeGJMnT47FixfHJZdcMuw6DQIECBAgQIAAAQIECBAgQIAAAQIECIxFoPYA9Pbbby/Xc9JJJ8XRRx894tqOOuqoePe7311ed8stt4x4vQsIECBAgAABAgQIECBAgAABAgQIECAwWoFaA9D169eXX2cvJj/hhBNGu4Y4/PDDy2t/+ctfjnqMCwkQIECAAAECBAgQIECAAAECBAgQIDCSQK0B6IQJE8rf9CwmLb4GP9rPmjVryku32mqr0Q5xHQECBAgQIECAAAECBAgQIECAAAECBEYUqDUALX7bc6+99ionvfXWW0ecvHHBj370o/LwkEMOaXT5S4AAAQIECBAgQIAAAQIECBAgQIAAgTEL1BqAFqt5wxveUC5q4cKFcd999424wOIlSF/+8pfL6w499NARr3cBAQIECBAgQIAAAQIECBAgQIAAAQIERitQewD6t3/7t1F8lX3VqlUxd+7cKN4K/+ijjw5bz4YNG8rfCj3ttNPimGOOieeeey5mz57d1u+GDruhBgECBAgQIECAAAECBAgQIECAAAECBFoI1B6AvvjFL45/+7d/K6dauXJl/OM//mO84AUviKlTp8aBBx4Y++67b2y99daxzz77xKc//elYvXp12b744otj8uTJLZaoiwABAgQIECBAgAABAgQIECBAgAABAp0J1B6AFss46aST4jvf+U7sueeezVU99dRT8atf/SqWL18ea9eubfa/7nWvi5/97GdxwAEHNPscECBAgAABAgQIECBAgAABAgQIECBAoA6BcXvksvgt0Fe96lVR/MbntddeWwafjzzySGyzzTZRPCVa/Dv88MPjqKOOqmMf7kGAAAECBAgQIECAAAECBAgQIECAAIHnCYxbAFrMVPwWaPGEZ/HPhwABAgQIECBAgAABAgQIECBAgAABAqkFxuUr8Kk3YT4CBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCAtAsymgTBAgQIECAAAECBAgQIECAAAECBAi0EhCAtlLRR4AAAQIECBAgQIAAAQIECBAgQIBAFgIC0CzKaBMECBAgQIAAAQIECBAgQIAAAQIECLQSEIC2UtFHgAABAgQIECBAgAABAgQIECBAgEAWAgLQLMpoEwQIECBAgAABAgQIECBAgAABAgQItBIQgLZS0UeAAAECBAgQIECAAAECBAgQIECAQBYCk7PYhU0QIECAAAECBAgQILBZBQYGBjbr/K0mHxwcbNWtjwABAgQIEOgzAU+A9lnBbZcAAQIECBAgQIAAAQIECBAgQIBAPwl4ArSfqm2vBAgQIECgDwS68Sm0PmC3RQIECBAgQIAAAQJdK+AJ0K4tjYURIECAAAECBAgQIECAAAECBAgQIDBWAQHoWAWNJ0CAAAECBAgQIECAAAECBAgQIECgawUEoF1bGgsjQIAAAQIECBAgQIAAAQIECBAgQGCsAgLQsQoaT4AAAQIECBAgQIAAAQIECBAgQIBA1woIQLu2NBZGgAABAgQIECBAgAABAgQIECBAgMBYBbwFfqyCxhMgQIAAAQIEelBgYGCgB1dtyQQIECBAgAABAgTaF/AEaPtmRhAgQIAAAQIECBAgQIAAAQIECBAg0CMCAtAeKZRlEiBAgAABAgQIECBAgAABAgQIECDQvoAAtH0zIwgQIECAAAECBAgQIECAAAECBAgQ6BEBAWiPFMoyCRAgQIAAAQIECBAgQIAAAQIECBBoX0AA2r6ZEQQIECBAgAABAgQIECBAgAABAgQI9IiAALRHCmWZBAgQIECAAAECBAgQIECAAAECBAi0LyAAbd/MCAIECBAgQIAAAQIECBAgQIAAAQIEekRAANojhbJMAgQIECBAgAABAgQIECBAgAABAgTaFxCAtm9mBAECBAgQIECAAAECBAgQIECAAAECPSIgAO2RQlkmAQIECBAgQIAAAQIECBAgQIAAAQLtCwhA2zczggABAgQIECBAgAABAgQIECBAgACBHhEQgPZIoSyTAAECBAgQIECAAAECBAgQIECAAIH2BQSg7ZsZQYAAAQIECBAgQIAAAQIECBAgQIBAjwgIQHukUJZJgAABAgQIECBAgAABAgQIECBAgED7AgLQ9s2MIECAAAECBAgQIECAAAECBAgQIECgRwQEoD1SKMskQIAAAQIECBAgQIAAAQIECBAgQKB9AQFo+2ZGECBAgAABAgQIECBAgAABAgQIECDQIwIC0B4plGUSIECAAAECBAgQIECAAAECBAgQINC+gAC0fTMjCBAgQIAAAQIECBAgQIAAAQIECBDoEQEBaI8UyjIJECBAgAABAgQIECBAgAABAgQIEGhfQADavpkRBAgQIECAAAECBAgQIECAAAECBAj0iIAAtEcKZZkECBAgQIAAAQIECBAgQIAAAQIECLQvIABt38wIAgQIECBAgAABAgQIECBAgAABAgR6REAA2iOFskwCBAgQIECAAAECBAgQIECAAAECBNoXEIC2b2YEAQIECBAgQIAAAQIECBAgQIAAAQI9IiAA7ZFCWSYBAgQIECBAgAABAgQIECBAgAABAu0LCEDbNzOCAAECBAgQIECAAAECBAgQIECAAIEeERCA9kihLJMAAQIECBAgQIAAAQIECBAgQIAAgfYFBKDtmxlBgAABAgQIECBAgAABAgQIECBAgECPCAhAe6RQlkmAAAECBAgQIECAAAECBAgQIECAQPsCAtD2zYwgQIAAAQIECBAgQIAAAQIECBAgQKBHBASgPVIoyyRAgAABAgQIECBAgAABAgQIECBAoH0BAWj7ZkYQIECAAAECBAgQIECAAAECBAgQINAjAgLQHimUZRIgQIAAAQIECBAgQIAAAQIECBAg0L6AALR9MyMIECBAgAABAgQIECBAgAABAgQIEOgRAQFojxTKMgkQIECAAAECBAgQIECAAAECBAgQaF9AANq+mREECBAgQIAAAQIECBAgQIAAAQIECPSIgAC0RwplmQQIECBAgAABAgQIECBAgAABAgQItC8gAG3fzAgCBAgQIECAAAECBAgQIECAAAECBHpEQADaI4WyTAIECBAgQIAAAQIECBAgQIAAAQIE2hcQgLZvZgQBAgQIECBAgAABAgQIECBAgAABAj0iIADtkUJZJgECBAgQIECAAAECBAgQIECAAAEC7QsIQNs3M4IAAQIECBAgQIAAAQIECBAgQIAAgR4REID2SKEskwABAgQIECBAgAABAgQIECBAgACB9gUEoO2bGUGAAAECBAgQIECAAAECBAgQIECAQI8ICEB7pFCWSYAAAQIECBAgQIAAAQIECBAgQIBA+wIC0PbNjCBAgAABAgQIECBAgAABAgQIECBAoEcEBKA9UijLJECAAAECBAgQIECAAAECBAgQIECgfQEBaPtmRhAgQIAAAQIECBAgQIAAAQIECBAg0CMCAtAeKZRlEiBAgAABAgQIECBAgAABAgQIECDQvoAAtH0zIwgQIECAAAECBAgQIECAAAECBAgQ6BEBAWiPFMoyCRAgQIAAAQIECBAgQIAAAQIECBBoX0AA2r6ZEQQIECBAgAABAgQIECBAgAABAgQI9IiAALRHCmWZBAgQIECAAAECBAgQIECAAAECBAi0LyAAbd/MCAIECBAgQIAAAQIECBAgQIAAAQIEekRAANojhbJMAgQIECBAgAABAgQIECBAgAABAgTaFxCAtm9mBAECBAgQIECAAAECBAgQIECAAAECPSIgAO2RQlkmAQIECBAgQIAAAQIECBAgQIAAAQLtCwhA2zczggABAgQIECBAgAABAgQIECBAgACBHhEQgPZIoSyTAAECBAgQIECAAAECBAgQIECAAIH2BSa3P8QIAgQIECCQt8DAwEDXbXBwcLDr1mRBBAhsPoFu/P+pzadhZgIECBAgQIDApgU8AbppH2cJECBAgAABAgQIECBAgAABAgQIEOhhAQFoDxfP0gkQIECAAAECBAgQIECAAAECBAgQ2LSAAHTTPs4SIECAAAECBAgQIECAAAECBAgQINDDAgLQHi6epRMgQIAAAQIECBAgQIAAAQIECBAgsGkBAeimfZwlQIAAAQIECBAgQIAAAQIECBAgQKCHBQSgPVw8SydAgAABAgQIECBAgAABAgQIECBAYNMCAtBN+zhLgMD/tHcnYJIUZcKAY07B4QYRAeWcVURxBpRhUUFBoFd2wRPXRUFUVhdXV5BlUWB4OJyFhQWBR1fRRVFBELxWdEZAQBRYEUUZQRAEcUAO5b5HoP788v8z/6ru6p7u7Lq66o3naSozMiMy4o2uoubryAwCBAgQIECAAAECBAgQIECAAIEpLCAAOoUHT9MJECBAgAABAgQIECBAgAABAgQIEBhbQAB0bB9HCRAgQIAAAQIECBAgQIAAAQIECBCYwgICoFN48DSdAAECBAgQIECAAAECBAgQIECAAIGxBQRAx/ZxlAABAgQIECBAgAABAgQIECBAgACBKSwgADqFB0/TCRAgQIAAAQIECBAgQIAAAQIECBAYW0AAdGwfRwkQIECAAAECBAgQIECAAAECBAgQmMICAqBTePA0nQABAgQIECBAgAABAgQIECBAgACBsQVmjn3YUQIECBAgQIAAAQIECExNgaGhoZ5r+JIlS3quTRpEgAABAgT6XcAM0H4fYf0jQIAAAQIECBAgQIAAAQIECBAgMMACAqADPPi6ToAAAQIECBAgQIAAAQIECBAgQKDfBQRA+32E9Y8AAQIECBAgQIAAAQIECBAgQIDAAAsIgA7w4Os6AQIECBAgQIAAAQIECBAgQIAAgX4XEADt9xHWPwIECBAgQIAAAQIECBAgQIAAAQIDLCAAOsCDr+sECBAgQIAAAQIECBAgQIAAAQIE+l1AALTfR1j/CBAgQIAAAQIECBAgQIAAAQIECAywgADoAA++rhMgQIAAAQIECBAgQIAAAQIECBDod4GZ/dzBxx9/PB188MFpvfXWSwsXLhy1q0899VQ6//zz0zXXXJMeeOCBNHfu3DRv3rw0NDSUZsyY0bRclTJNK5JJgAABAgQIECBAgAABAgQIECBAgEDbBPo2AFqr1dLRRx+dli5dmmbOHL2bDz74YDrggAPSsmXLcuS11lorLVmyJP+58sor05FHHplmz57dMABVyjRUYIcAAQIECBAgQIAAAQIECBAgQIAAgY4I9OUt8E888UQ6/vjj0xVXXLFCxGOOOSYPfi5YsCBdcMEF6Tvf+U4655xz0mabbZYuv/zydOqpp46oo0qZEZXIIECAAAECBAgQIECAAAECBAgQIECg7QJ9FwCN29j32Wef9L3vfS9Nnz5292644YZ09dVXp5VXXjkde+yxafXVV8/BN9hgg3TSSSflt78vXrw4PfLII+VAVClTFrZBgAABAgQIECBAgAABAgQIECBAgEBHBcaOEHa0KZO/2EUXXZQOPPDAdPfdd6eY0XnQQQeNWelll12WH99xxx3TSiut1HBu3Aq/7bbbpuXLl6cIghapSpmirFcCBAgQIECAAAECBAgQIECAAAECBDor0FcB0Pvvvz+tv/766dBDD00nnHBCWnPNNcfUvP766/PjESxtliIAGum6664rD1cpUxa2QYAAAQIECBAgQIAAAQIECBAgQIBARwVGXx2oo81ozcV23nnn9Na3vnXMRY/qr3TnnXfmu2ussUZ9drld5BcLJMWBKmXKCus2brzxxvT000/X5fz/zVhhXiJAgAABAgQIECBAgAABAgQIECBAYPICfRUAXWeddSYk8thjj+XnF4HO4YVXW221PKs4L3aK7YmUGV5v7O+3334pZqw2S9tss02zbHkECBAgQIAAAQIECBAgQIAAAQIECExQoK9ugZ9I35999tn05JNP5kVWXXXVpkVXWWWVPL+YkVmlTNOKZRIgQIAAAQIECBAgQIAAAQIECBAg0BGBvpoBOhGxWCE+Vn9/4oknUhHgHF6+yJ89e3Z+qEqZ4XUW+0NDQw2ryxf58frwww+nRx99tD7LNgECBAgQIECAAAECBAgQIECAAAECFQQGNgAaVnHLfDzf85FHHmlKV+TPmTOnPF6lTFm4buPII4+s22vcPPzww/OV7Btz7REgQIAAAQIECBAgQIAAAQIECBAgMFGBgb0FPqCKZ4YWgc7heDETM1L9avJVygyv1z4BAgQIECBAgAABAgQIECBAgAABAp0RGOgA6Lrrrpsr33rrrU21i/wtttiiPF6lTFnYBgECBAgQIECAAAECBAgQIECAAAECHRUY6ADozjvvnGNffPHFI9BjwaNLLrkkz583b155vEqZsrANAgQIECBAgAABAgQIECBAgAABAgQ6KjDQAdDtttsubbzxxunmm29OixcvboA/66yz0n333Zc22mijtGDBgvJYlTJlYRsECBAgQIAAAQIECBAgQIAAAQIECHRUYKAXQZo2bVraf//908KFC9OiRYvSVVddlebOnZuWLl2ab8+aNSsdcsghKc4rUpUyRVmvBAgQIECAAAECBAgQIECAAAECBAh0VmCgZ4AG9Q477JBOPvnktN5666VLL700nX766XnwM2aGnnjiiWmrrbYaMSJVyoyoRAYBAgQIECBAgAABAgQIECBAgAABAm0X6OsZoBGo/PGPf7xCxPnz56fzzjsvv+V92bJlKRY6ioDo9Omjx4erlFlhQ5xAgAABAgQIECBAgAABAgQIECBAgEBLBfo6ADpRqbXXXjvFz0RSlTITqd+5BAgQIECAAAECBAgQIECAAAECBAhUFxAArW6nJAECBAgQ6JjA0NBQx67lQgQIECBAgAABAgQIEOgngdHv8e6nXuoLAQIECBAgQIAAAQIECBAgQIAAAQIDKSAAOpDDrtMECBAgQIAAAQIECBAgQIAAAQIEBkNAAHQwxlkvCRAgQIAAAQIECBAgQIAAAQIECAykgGeADuSw6zQBAgR6R8CzLXtnLLSEAAECBAgQIECAAAEC/ShgBmg/jqo+ESBAgAABAgQIECBAgAABAgQIECCQCwiA+kUgQIAAAQIECBAgQIAAAQIECBAgQKBvBQRA+3ZodYwAAQIECBAgQIAAAQIECBAgQIAAAQFQvwMECBAgQIAAAQIECBAgQIAAAQIECPStgABo3w6tjhEgQIAAAQIECBAgQIAAAQIECBAgIADqd4AAAQIECBAgQIAAAQIECBAgQIAAgb4VEADt26HVMQIECBAgQIAAAQIECBAgQIAAAQIEBED9DhAgQIAAAQIECBAgQIAAAQIECBAg0LcCAqB9O7Q6RoAAAQIECBAgQIAAAQIECBAgQICAAKjfAQIECBAgQIAAAQIECBAgQIAAAQIE+lZAALRvh1bHCBAgQIAAAQIECBAgQIAAAQIECBAQAPU7QIAAAQIECBAgQIAAAQIECBAgQIBA3woIgPbt0OoYAQIECBAgQIAAAQIECBAgQIAAAQICoH4HCBAgQIAAAQIECBAgQIAAAQIECBDoWwEB0L4dWh0jQIAAAQIECBAgQIAAAQIECBAgQEAA1O8AAQIECBAgQIAAAQIECBAgQIAAAQJ9KyAA2rdDq2MECBAgQIAAAQIECBAgQIAAAQIECAiA+h0gQIAAAQIECBAgQIAAAQIECBAgQKBvBQRA+3ZodYwAAQIECBAgQIAAAQIECBAgQIAAAQFQvwMECBAgQIAAAQIECBAgQIAAAQIECPStgABo3w6tjhEgQIAAAQIECBAgQIAAAQIECBAgIADqd4AAAQIECBAgQIAAAQIECBAgQIAAgb4VmNm3PdMxAgQIECBAgAABAgQI9JjA0NBQj7UopSVLlvRcmzSIAAECBAi0UsAM0FZqqosAAQIECBAgQIAAAQIECBAgQIAAgZ4SEADtqeHQGAIECBAgQIAAAQIECBAgQIAAAQIEWikgANpKTXURIECAAAECBAgQIECAAAECBAgQINBTAgKgPTUcGkOAAAECBAgQIECAAAECBAgQIECAQCsFBEBbqakuAgQIECBAgAABAgQIECBAgAABAgR6SkAAtKeGQ2MIECBAgAABAgQIECBAgAABAgQIEGilgABoKzXVRYAAAQIECBAgQIAAAQIECBAgQIBATwkIgPbUcGgMAQIECBAgQIAAAQIECBAgQIAAAQKtFBAAbaWmuggQIECAAAECBAgQIECAAAECBAgQ6CkBAdCeGg6NIUCAAAECBAgQIECAAAECBAgQIECglQICoK3UVBcBAgQIECBAgAABAgQIECBAgAABAj0lIADaU8OhMQQIECBAgAABAgQIECBAgAABAgQItFJAALSVmuoiQIAAAQIECBAgQIAAAQIECBAgQKCnBARAe2o4NIYAAQIECBAgQIAAAQIECBAgQIAAgVYKCIC2UlNdBAgQIECAAAECBAgQIECAAAECBAj0lIAAaE8Nh8YQIECAAAECBAgQIECAAAECBAgQINBKgZmtrExdBAgQINC7AkNDQ73bOC0jQIAAAQIECBAgQIAAAQJtEjADtE2wqiVAgAABAgQIECBAgAABAgQIECBAoPsCAqDdHwMtIECAAAECBAgQIECAAAECBAgQIECgTQICoG2CVS0BAgQIECBAgAABAgQIECBAgAABAt0XEADt/hhoAQECBAgQIECAAAECBAgQIECAAAECbRIQAG0TrGoJECBAgAABAgQIECBAgAABAgQIEOi+gABo98dACwgQIECAAAECBAgQIECAAAECBAgQaJOAAGibYFVLgAABAgQIECBAgAABAgQIECBAgED3BQRAuz8GWkCAAAECBAgQIECAAAECBAgQIECAQJsEBEDbBKtaAgQIECBAgAABAgQIECBAgAABAgS6LyAA2v0x0AICBAgQIECAAAECBAgQIECAAAECBNokIADaJljVEiBAgAABAgQIECBAgAABAgQIECDQfQEB0O6PgRYQIECAAAECBAgQIECAAAECBAgQINAmAQHQNsGqlgABAgQIECBAgAABAgQIECBAgACB7gsIgHZ/DLSAAAECBAgQIECAAAECBAgQIECAAIE2CQiAtglWtQQIECBAgAABAgQIECBAgAABAgQIdF9AALT7Y6AFBAgQIECAAAECBAgQIECAAAECBAi0SWBmm+pVLQECBDomMDQ01LFrjfdCS5YsGe+pziNAgAABAgQIECBAgAABAgTaKGAGaBtxVU2AAAECBAgQIECAAAECBAgQIECAQHcFBEC76+/qBAgQIECAAAECBAgQIECAAAECBAi0UUAAtI24qiZAgAABAgQIECBAgAABAgQIECBAoLsCAqDd9Xd1AgQIECBAgAABAgQIECBAgAABAgTaKCAA2kZcVRMgQIAAAQIECBAgQIAAAQIECBAg0F0BAdDu+rs6AQIECBAgQIAAAQIECBAgQIAAAQJtFBAAbSOuqgkQIECAAAECBAgQIECAAAECBAgQ6K6AAGh3/V2dAAECBAgQIECAAAECBAgQIECAAIE2CgiAthFX1QQIECBAgAABAgQIECBAgAABAgQIdFdAALS7/q5OgAABAgQIECBAgAABAgQIECBAgEAbBQRA24iragIECBAgQIAAAQIECBAgQIAAAQIEuisgANpdf1cnQIAAAQIECBAgQIAAAQIECBAgQKCNAgKgbcRVNQECBAgQIECAAAECBAgQIECAAAEC3RUQAO2uv6sTIECAAAECBAgQIECAAAECBAgQINBGAQHQNuKqmgABAgQIECBAgAABAgQIECBAgACB7goIgHbX39UJECBAgAABAgQIECBAgAABAgQIEGijgABoG3FVTYAAAQIECBAgQIAAAQIECBAgQIBAdwUEQLvr7+oECBAgQIAAAQIECBAgQIAAAQIECLRRQAC0jbiqJkCAAAECBAgQIECAAAECBAgQIECguwICoN31d3UCBAgQIECAAAECBAgQIECAAAECBNooIADaRlxVEyBAgAABAgQIECBAgAABAgQIECDQXQEB0O76uzoBAgQIECBAgAABAgQIECBAgAABAm0UEABtI66qCRAgQIAAAQIECBAgQIAAAQIECBDoroAAaHf9XZ0AAQIECBAgQIAAAQIECBAgQIAAgTYKCIC2EVfVBAgQIECAAAECBAgQIECAAAECBAh0V2Bmdy/v6gQIECBAgAABAgQIECBAYKTA0NDQyMwu5yxZsqTLLXB5AgQIEKgiYAZoFTVlCBAgQIAAAQIECBAgQIAAAQIECBCYEgICoFNimDSSAAECBAgQIECAAAECBAgQIECAAIEqAgKgVdSUIUCAAAECBAgQIECAAAECBAgQIEBgSggIgE6JYdJIAgQIECBAgAABAgQIECBAgAABAgSqCAiAVlFThgABAgQIECBAgAABAgQIECBAgACBKSEgADolhkkjCRAgQIAAAQIECBAgQIAAAQIECBCoIiAAWkVNGQIECBAgQIAAAQIECBAgQIAAAQIEpoSAAOiUGCaNJECAAAECBAgQIECAAAECBAgQIECgioAAaBU1ZQgQIECAAAECBAgQIECAAAECBAgQmBICAqBTYpg0kgABAgQIECBAgAABAgQIECBAgACBKgICoFXUlCFAgAABAgQIECBAgAABAgQIECBAYEoIzJwSrdRIAgQITDGBoaGhKdZizSVAgAABAgQIECBAgAABAv0pYAZof46rXhEgQIAAAQIECBAgQIAAAQIECBAgkAmYAerXgEAPC/TiLMIlS5b0sJimESBAgAABAgQIECBAgAABAgQaBcwAbfSwR4AAAQIECBAgQIAAAQIECBAgQIBAHwkIgPbRYOoKAQIECBAgQIAAAQIECBAgQIAAAQKNAgKgjR72CBAgQIAAAQIECBAgQIAAAQIECBDoIwEB0D4aTF0hQIAAAQIECBAgQIAAAQIECBAgQKBRQAC00cMeAQIECBAgQIAAAQIECBAgQIAAAQJ9JCAA2keDqSsECBAgQIAAAQIECBAgQIAAAQIECDQKzGzctUeAAAECBAgQIECAAAECgyQwNDQ0SN3VVwIECBAYQAEzQAdw0HWZAAECBAgQIECAAAECBAgQIECAwKAICIAOykjrJwECBAgQIECAAAECBAgQIECAAIEBFBAAHcBB12UCBAgQIECAAAECBAgQIECAAAECgyIgADooI62fBAgQIECAAAECBAgQIECAAAECBAZQQAB0AAddlwkQIECAAAECBAgQIECAAAECBAgMioAA6KCMtH4SIECAAAECBAgQIECAAAECBAgQGEABAdABHHRdJkCAAAECBAgQIECAAAECBAgQIDAoAgKggzLS+kmAAAECBAgQIECAAAECBAgQIEBgAAUEQAdw0HWZAAECBAgQIECAAAECBAgQIECAwKAICIAOykjrJwECBAgQIECAAAECBAgQIECAAIEBFBAAHcBB12UCBAgQIECAAAECBAgQIECAAAECgyIgADooI62fBAgQIECAAAECBAgQIECAAAECBAZQQAB0AAddlwkQIECAAAECBAgQIECAAAECBAgMioAA6KCMtH4SIECAAAECBAgQIECAAAECBAgQGEABAdABHHRdJkCAAAECBAgQIECAAAECBAgQIDAoAgKggzLS+kmAAAECBAgQIECAAAECBAgQIEBgAAUEQAdw0HWZAAECBAgQIECAAAECBAgQIECAwKAICIAOykjrJwECBAgQIECAAAECBAgQIECAAIEBFBAAHcBB12UCBAgQIECAAAECBAgQIECAAAECgyIgADooI62fBAgQIECAAAECBAgQIECAAAECBAZQQAB0AAddlwkQIECAAAECBAgQIECAAAECBAgMioAA6KCMtH4SIECAAAECBAgQIECAAAECBAgQGEABAdABHHRdJkCAAAECBAgQIECAAAECBAgQIDAoAgKggzLS+kmAAAECBAgQIECAAAECBAgQIEBgAAUEQAdw0HWZAAECBAgQIECAAAECBAgQIECAwKAICIAOykjrJwECBAgQIECAAAECBAgQIECAAIEBFJg5gH3WZQIEJiEwNDQ0idKKEiBAgAABAgQIECBAgAABAgQ6K2AGaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KCIB2ENulCBAgQIAAAQIECBAgQIAAAQIECBDorIAAaGe9XY0AAQIECBAgQIAAAQIECBAgQIAAgQ4KzOzgtVyKAAECBAgQIECAAAECBAhMWYGhoaGea/uSJUt6rk0aRIAAgV4TMAO010ZEewgQIECAAAECBAgQIECAAAECBAgQaJmAGaAto1TRVBboxb/kTmVPbSdAgAABAgQIECBAgAABAgQI9IqAGaC9MhLaQYAAAQIECBAgQIAAAQIECBAgQIBAywXMAG05qQoJECBAgAABAgQIECBAgEBnBHrxbjbPJe3M2LsKAQLjFzADdPxWziRAgAABAgQIECBAgAABAgQIECBAYIoJmAE6xQasH5rbi3+h7AdXfSBAgAABAgQIECBAgAABAgQIEBgpYAboSBM5BAgQIECAAAECBAgQIECAAAECBAj0iYAZoH0ykLpBgAABAgQIECBAgAABAgR6QaBX7/rzbNJe+O3QBgLdETADtDvurkqAAAECBAgQIECAAAECBAgQIECAQAcEBEA7gOwSBAgQIECAAAECBAgQIECAAAECBAh0R0AAtDvurkqAAAECBAgQIECAAAECBAgQIECAQAcEBEA7gOwSBAgQIECAAAECBAgQIECAAAECBAh0R0AAtDvurkqAAAECBAgQIECAAAECBAgQIECAQAcEBEA7gOwSBAgQIECAAAECBAgQIECAAAECBAh0R0AAtDvurkqAAAECBAgQIECAAAECBAgQIECAQAcEBEA7gOwSBAgQIECAAAECBAgQIECAAAECBAh0R0AAtDvurkqAAAECBAgQIECAAAECBAgQIECAQAcEBEA7gOwSBAgQIECAAAECBAgQIECAAAECBAh0R2Bmdy7rqgQIECBAgAABAgQIECBAgACBzgkMDQ117mLjvNKSJUvGeabTek2gF3+fwsjvVPPfFDNAm7vIJUCAAAECBAgQIECAAAECBAgQIECgDwQEQPtgEHWBAAECBAgQIECAAAECBAgQIECAAIHmAgKgzV3kEiBAgAABAgQIECBAgAABAgQIECDQBwICoH0wiLpAgAABAgQIECBAgAABAgQIECBAgEBzAQHQ5i5yCRAgQIAAAQIECBAgQIAAAQIECBDoAwEB0D4YRF0gQIAAAQIECBAgQIAAAQIECBAgQKC5gABocxe5BAgQIECAAAECBAgQIECAAAECBAj0gYAAaB8Moi4QIECAAAECBAgQIECAAAECBAgQINBcQAC0uYtcAgQIECBAgAABAgQIECBAgAABAgT6QEAAtA8GURcIECBAgAABAgQIECBAgAABAgQIEGguIADa3EUuAQIECBAgQIAAAQIECBAgQIAAAQJ9IDCzD/qgCwQIECBAgAABAgQIECBAgAABAi0QGBoaakEtra1iyZIlra1QbQMnIABaccifeuqpdP7556drrrkmPfDAA2nu3Llp3rx5KT4oZsyYUbFWxQgQIECAAAECBAgQIECAAAECBAgQaKWAAGgFzQcffDAdcMABadmyZXnptdZaK8VfI+LnyiuvTEceeWSaPXt2hZoVIUCAAAECBAgQIECAAAECBAgQIECglQICoBU0jznmmDz4uWDBgnTEEUek1VdfPd15553psMMOS5dffnk69dRT08EHH1yhZkUIECBAgAABAgQIECBAgACBQRHoxdvNB8VePwdLwCJIExzvG264IV199dVp5ZVXTscee2we/IwqNthgg3TSSSflt78vXrw4PfLIIxOs2ekECBAgQIAAAQIECBAgQIAAAQIECLRaQAB0gqKXXXZZXmLHHXdMK620UkPpuBV+2223TcuXL08RBJUIECBAgAABAgQIECBAgAABAgQIEOiugADoBP2vv/76vETc/t4sRQA00nXXXdfssDwCBAgQIECAAAECBAgQIECAAAECBDoo4BmgE8SOZ31GWmONNZqWLPKLBZKanpRlnnbaaemxxx5revi+++5rmi+TAAECBAgQIECAAAECBAgQIDBoAp6VOmgj3vr+CoBO0LQIWhaBzuHFV1tttTyrOG/48WL/7LPPTvfff3+x2/C6zTbbNOzbIUCAAAECBAgQIECAAAECBAgQIECgmoAA6ATcnn322fTkk0/mJVZdddWmJVdZZZU8/6mnnmp6XGZKS5YswUCAAAECBAgQIECAAAECBAgQIECgIwICoBNgnj59er76+xNPPJFGC3AW+bNnzx6z5v/8z/9Mf/nLX5qe853vfCfdcsstTY/JJECAAAECBAgQIECAAAECBAgQIEBg/AICoOO3ys9cZ511Ujzf85FHHmlassifM2dO0+NF5vbbb19sjni96KKLRuTJIECAAAECBAgQIECAAAECBAgQIEBg4gJWgZ+gWQRAIxWBzuHFH3744TxrzTXXHH7IPgECBAgQIECAAAECBAgQIECAAAECHRYQAJ0g+LrrrpuXuPXWW5uWLPK32GKLpsdlEiBAgAABAgQIECBAgAABAgQIECDQOQEB0Ala77zzznmJiy++eETJWCTpkksuyfPnzZs34rgMAgQIECBAgAABAgQIECBAgAABAgQ6KyAAOkHv7bbbLm288cbp5ptvTosXL24ofdZZZ6X77rsvbbTRRmnBggUNx+wQIECAAAECBAgQIECAAAECBAgQINB5AYsgTdB82rRpaf/9908LFy5MixYtSldddVWaO3duWrp0ab49a9asdMghh6Q4TyJAgAABAgQIECBAgAABAgQIECBAoLsCZoBW8N9hhx3SySefnNZbb7106aWXptNPPz0PfsbM0BNPPDFttdVWFWpVhAABAgQIECBAgAABAgQIECBAgACBVguYAVpRdP78+em8887Lb3lftmxZisWRIiA6fbqYckVSxQgQIECAAAECBAgQIECAAAECBAi0XEAAdJKka6+9doofiQABAgQIECBAgAABAgQIECBAgACB3hMwXbH3xkSLCBAgQIAAAQIECBAgQIAAAQIECBBokYAAaIsgVUOAAAECBAgQIECAAAECBAgQIECAQO8JCID23phoEQECBAgQIECAAAECBAgQIECAAAECLRIQAG0RpGoIECBAgAABAgQIECBAgAABAgQIEOg9AQHQ3hsTLSJAgAABAgQIECBAgAABAgQIECBAoEUCAqAtglQNAQIECBAgQIAAAQIECBAgQIAAAQK9JyAA2ntjokUECBAgQIAAAQIECBAgQIAAAQIECLRIQAC0RZCqIUCAAAECBAgQIECAAAECBAgQIECg9wQEQHtvTLSIAAECBAgQIECAAAECBAgQIECAAIEWCQiAtghSNQQIECBAgAABAgQIECBAgAABAgQI9J6AAGjvjYkWESBAgAABAgQIECBAgAABAgQIECDQIgEB0BZBqoYAAQIECBAgQIAAAQIECBAgQIAAgd4TEADtvTHRIgIECBAgQIAAAQIECBAgQIAAAQIEWiQgANoiSNUQIECAAAECBAgQIECAAAECBAgQINB7AgKgvTcmWkSAAAECBAgQIECAAAECBAgQIECAQIsEBEBbBKkaAgQIECBAgAABAgQIECBAgAABAgR6T0AAtPfGRIsIECBAgAABAgQIECBAgAABAgQIEGiRgABoiyBVQ4AAAQIECBAgQIAAAQIECBAgQIBA7wkIgPbemGgRAQIECBAgQIAAAQIECBAgQIAAAQItEhAAbRGkaggQIECAAAECBAgQIECAAAECBAgQ6D0BAdDeGxMtIkCAAAECBAgQIECAAAECBAgQIECgRQICoC2CVA0BAgQIECBAgAABAgQIECBAgAABAr0nIADae2OiRQQIECBAgAABAgQIECBAgAABAgQItEhAALRFkKohQIAAAQIECBAgQIAAAQIECBAgQKD3BARAe29MtIgAAQIECBAgQIAAAQIECBAgQIAAgRYJCIC2CFI1BAgQIECAAAECBAgQIECAAAECBAj0nsDM3muSFoXAgw8+mL7+9a/DIECAAAECBAgQIECAAAECBAgQIDCwAsuXL5903wVAJ03YngruueeedMQRR7SncrUSIECAAAECBAgQIECAAAECBAgQGBCBabUsDUhfp0w3n3nmmfTss89OmfZ2o6FHH310+uY3v5lf+owzzkhbb711N5rhmgQITCGBvfbaK/32t7/NW/yzn/0szZo1awq1XlMJEOi0QMw02HbbbfPLvvjFL07nnntup5vgegQITDGBX/ziF+m9731v3uq3ve1t6fDDD59iPdBcAgQ6LXDmmWemk08+Ob/sUUcdlfbcc89ON2FKXW/mzJlp2rRpldpsBmgltvYWmjFjRoofaXSBiNs//fTT+QlhJZAxupUjBAj8X4H441LxuRH/4/S54TeDAIGxBOKP0cVnRrz6zBhLyzECBEJg+vTp5edGfIb43PB7QYDAeASK7xtxrs+N8YhVO8ciSNXclCJAgAABAgQIECBAgAABAgQIECBAYAoICIBOgUHSRAIECBAgQIAAAQIECBAgQIAAAQIEqgkIgFZzU4oAAQIECBAgQIAAAQIECBAgQIAAgSkgIAA6BQZJEwkQIECAAAECBAgQIECAAAECBAgQqCYgAFrNTSkCBAgQIECAAAECBAgQIECAAAECBKaAwLRsNe3aFGinJhJoEPj1r3+d7rjjjjxv2223TWuttVbDcTsECBAYLnDllVemhx9+OM/ebbfd0rRp04afYp8AAQKlQKzgfOGFF+b7q622Wtp+++3LYzYIECDQTOD+++9PV199dX7ohS98Ydpyyy2bnSaPAAECpcBtt92Wbrrppnz/ZS97Wdpwww3LYzZaKyAA2lpPtREgQIAAAQIECBAgQIAAAQIECBAg0EMCboHvocHQFAIECBAgQIAAAQIECBAgQIAAAQIEWisgANpaT7URIECAAAECBAgQIECAAAECBAgQINBDAgKgPTQYmkKAAAECBAgQIECAAAECBAgQIECAQGsFBEBb66k2AgQIECBAgAABAgQIECBAgAABAgR6SGBmD7VFUwZA4MYbb0znnXdeuv3229OcOXPSy1/+8rTTTjulTTfdtFLvq9RXpUylxilEgEBLBFr5nr3vvvvS17/+9fS73/0u3XPPPWnddddNm2yySXrHO96Rnve8541o7+OPP54+//nPj8ivz9h9993T5ptvXp9lmwCBLgu06nOj6mfAU089lc4///x0zTXXpAceeCDNnTs3zZs3Lw0NDaUZM2Z0WcflCRAYLtCK9+yvf/3rdOGFFw6vuun+9ttvn7bbbrvy2KWXXpquu+66cn/4xjrrrJP23nvv4dn2CRDoEYH4vnDwwQen9dZbLy1cuLBSq6p8d6lSplLj+qSQVeD7ZCCnQjfiHwKnnHJK3tRVVlklLV++PP9ZeeWV03HHHZe23nrrCXWjSn1VykyoUU4mQKClAq18z1522WVp0aJF6YknnsgDEGuvvXaKgOgzzzyT4nPo3/7t39LOO+/c0P74x8iHPvShhrzhO8cee2zacccdh2fbJ0CgSwKt/Nyo8hnw4IMPpgMOOCAtW7YsF1hrrbXS/fffn2/vsMMO6cgjj0yzZ8/uko7LEiAwXKBV79kLLrggHX/88cOrb7r//ve/P+27777lsY9+9KPp5z//ebk/fCMmi5x55pnDs+0TINADArVaLX384x9PV1xxRZo/f3469dRTJ9yqKt9dqpSZcMP6rIAAaJ8NaK92Z+nSpXkQYdasWfkX/9e+9rXp6aefTt/+9rfzD4jIP/vss/O/mIynD1Xqq1JmPG1xDgEC7RFo5Xv2zjvvTPvtt18e/IzXmEXxnOc8J8WMjy9/+cv5z0orrZTOOOOM9MIXvrDs0De+8Y30qU99Km2zzTb5bPXyQN3GK1/5yrT++uvX5dgkQKBbAq383Ig+VPkM+NjHPpauvvrqtGDBgnTEEUek1VdfPcVn0GGHHZbPPt9zzz3zWSLdMnJdAgQaBVr1nv3DH/6QfvnLXzZWXrcXf1D5wQ9+kJ773Oem008/PW200Ubl0bib5OGHH04f+chH8u8n5YH/t7Hqqqum17/+9cOz7RMg0GWBmFgRk7y+973v5S2pEgCt8t2lSpkuU/XE5d0C3xPD0P+NiL9Yxl9G3vWud6WY/RApgp5vf/vb0x//+Mf8NrEIhn7wgx8cF0aV+qqUGVdjnESAQFsEWvme/e53v5sHP9/whjek9773vWV7Iwi6//77p/hHS8wQjfNi5laRbr755nwzHtWxxx57FNleCRDoUYFWyYREMgAAIfFJREFUfm5EFyf6GXDDDTfkwc+YVR6zw+MPK5E22GCDdNJJJ6W3vOUtafHixekDH/hAioCGRIBAdwVa+Z590YtelOKnWYo7Tv77v/87PxR/GKkPft5777158DPuTIl/G0kECEwNgXjMTcz6vvvuu9P06dPTs88+W6nhVb67VClTqXF9VsgiSH02oL3YnXgeRsyEiLTbbruNaGKRF7eNxKzQFaUq9VUps6J2OE6AQPsEWv2evfbaa/PGxuzzZilmakW65ZZbGg4X+y9+8Ysb8u0QINB7Aq3+3IgeTvQzIP6QEikei1EEP/OM7D9xK/y2226bP/4ngqASAQLdF+jUe/aYY47JH4Xx5je/Ob3mNa9p6HjxhxbfNRpY7BDoaYGLLrooHXjggXnwM/4dcdBBB1Vqb5XvLlXKVGpcHxYSAO3DQe21Lv3mN7/JZ3/GbaXNbhN9yUteks+CeOihh/JZWCtqf5X6qpRZUTscJ0CgfQKtfs/Gs3jOPffchgUH6ltfPJ9vjTXWKLPjDzK33nprmjlzZrlQW9yeFrfNSwQI9J5Aqz83qnwGXH/99TlM8UeV4UoRAI001mInw8vYJ0CgfQKdeM9GoCSe7xl/BPnHf/zHEZ0ZHgCNz57ie8mIk2UQINATAvEejdjGoYcemk444YS05pprVmpXle8uVcpUalwfFnILfB8Oaq91KZ57Fak+sDC8jXHskUceyRcMWNGK8FXqq1JmeBvtEyDQOYFWv2fjVvdmf4CJHsU/NIrZWFtuuWXZydtvvz395S9/yW9ni2cUf+tb38oXTYpbXOIWt3e/+91p1113Lc+3QYBAdwVa/blR5TNgRW0ovgsVCyR1V8zVCRBo93s2ng/46U9/OoeOR+zEQrDDUxEAje8jMaMs7lqJBRrjMRmvetWr8ueCxu3xEgECvSMQC6e+9a1vzSdKTKZVK/oMirqHx0qqlJlMG/uprBmg/TSaPdqXxx57LG9Z8aW/WTNXW221PLs4t9k5RV5xzkTqq1KmuJ5XAgQ6L9DJ9+znPve5dMcdd+TP6ItFCIpU/IMkng/6hS98IU2bNi1fDCn+wvv73/8+xe1sxx13XHG6VwIEuizQ6s+NKp8BK2rDRL7vdJnT5QkMhEC737Mx+zOe/xkBzAiYNEvFoza+8pWv5MHPuDsubod/8skn0yWXXJL22Wef8nEczcrLI0Cg8wLrrLPOpIOf0eoVfQbFOcO/O1QpE/VIKZkB6reg7QLxjIpIYz3sv/hraPyPfkWpSn1VyqyoHY4TINA+gU69Z88555wUPzGr8xOf+ETDM/uKf5DEZ9eiRYvSvHnz8g7Hgm4xGzRWh48VH7fbbrv0ute9rn0YaiZAYFwCrf7cmOhnQCx+UHyPGe07T/F9x6M0xjWkTiLQVoFOvGf/53/+J+/Dnnvu2TRYEoGMWBA2UqyLECvSxyJqkSL/qKOOSrFQU3wPiZXj47E8EgEC/SNQ5btLlTL9Iza5nvgEnZyf0uMQmDNnTn7W8uXLRz27+IdA3Ka6olSlviplVtQOxwkQaJ9AJ96z8Q+JmG0Rwc/DDz88bbXVVg0d2nffffPZGquvvnrD7fMxEzRWco5ZoBEI/epXvyoA2iBnh0B3BFr9uTHRz4D4LInARdzyWnyvGS5R5M+ePXv4IfsECHRYoN3v2ZhFftNNN6UZM2akPfbYo2nv4jMjHrPz5z//Of9Da3zHKFI8uufoo49Oe++9d4q6YlHZ7bffvjjslQCBPhCo8t2lSpk+oGpJF9wC3xJGlYwlENPDI8XiIaOleP5npOLNPNp5kV+lviplxmqDYwQItFegne/ZeK5n3L4ewc8IQsQ/LnbZZZcRHYoZXFtssUVD8LP+pDe84Q357m233ZZiFolEgEB3BVr9uVHlM6BoQ/G9ZrhIkT+e7zvDy9onQKD1Au18z373u9/NG7zjjjvmt8A3a30EYWOh2Pnz5+eP2hl+zvOf//z08pe/PM+OhRklAgT6S6D4DJpIrKRKmf5Sq94bAdDqdkqOU6B4gxZf+psVK97w41k9rUp9Vco0a6c8AgQ6I9Cu92x8DsXtZRdeeGH+PJ24jT3+YVIlxT9KIsXs9uJZPFXqUYYAgdYItOtzY7TWNfsMWFEbJvJ9Z7TryidAoHUC7XrPxuMw4rtGpLhrZDJp3XXXzYvHs0QlAgT6S2BFn0HR2+HfHaqU6S+16r0RAK1up+Q4BYr/aceKpzHzanh66KGH0v3335/fhjp37tzhh0fsV6mvSpkRF5ZBgEDHBNrxno0vDx/+8IfzBQY23HDD9NnPfracVdGsY+edd15+Ttzq3izdc889eXY8mHy05/01KyePAIH2CLT6c6PKZ0DRhtFmahX5MbtcIkCg+wLtes/G7erxx9EXvOAF6RWveMWoHY1b5M8888wUnzejpXvvvTc/FN9dJAIE+kug+AyaSKykSpn+UqveGwHQ6nZKjlMgnl8Tqxk++uij6ac//emIUpdeeml65pln8nOe+9znjjg+PKNKfVXKDL+ufQIEOifQ6vdsLFx06KGHpt/97nf5yqoR/IxbzsZKF198cTrrrLPyf5g0O+8nP/lJnr3llls2OyyPAIEOC7T6c6PKZ0CxynOUHZ7iURmxonOkYlG14efYJ0CgswLtes/++te/zjuyoskdDzzwQPrCF76QTjvttHT77beP6HxMErn++uvzfN83RvDIIDDlBap8d6lSZspDtagDAqAtglTN2ALvfOc78xO++MUvpvpb4eMvml/72tfyY29/+9tHVHLFFVekiy66KMUz9upTlfqqlKm/pm0CBDorUOU9e9ddd+WfGT/84Q8bGhvP4Vq6dGn+DOETTjghxcJGK0qvf/3r81MiYBGB0/r085//vJyt8b73va/+kG0CBLoo0MrPjSqfAdttt13aeOON8wVLFi9e3CARf1CJW1g32mijtGDBgoZjdggQ6I5A1ffsaP9GKXoRK7dH2mSTTYqspq/xx5A11lgjxR9qv/SlL6Wnn366PC9uoz/++OPzhdVe/epX55NFyoM2CBCYcgKjfW5U+e5SpcyUA2tDg60C3wZUVY4UiGfsxe1ev/nNb9L73//+FP+oiP/BxwyJ+MdA/E99p512GlHwlFNOSRHQ2H///Ru+QFSpr0qZEQ2SQYBAxwSqvGd/9atfpU9+8pP5iqvFrI5YdTlmfEaKVVbf/OY3j9qHzTffPJ+JESfEH2WuvPLK/Jb597znPWmbbbbJf2655ZYUM9cjHXDAAfmM0nzHfwgQ6LpAqz43oiNVPgNiBef4zrJw4cK0aNGidNVVV6WYARZ/gIntWbNmpUMOOaTpYiddx9MAAgMoUPU9O9q/UQrCO++8M9/cdNNNi6ymryuttFI68sgj00EHHZT/uyj+wLrrrrvm32Muv/zydMcdd+T/BjrwwAOblpdJgMDUERjtc6PKd5cqZaaOVPtaOi37a1OtfdWrmcD/F4ggxMknn5w/ELx4FuiMGTPyYMQHPvCBFF8Ahqe99tqrDIDus88+DYer1FelTMNF7RAg0FGBib5nlyxZUgZAL7vssrytN954Yx6QGE/DN9tss3wGRnFuzL6IWVtnn312vthRkR+3z3/kIx9JMXNEIkCgtwRa8blR9KjqZ8C1116bB0Dvvvvuoqp8ZmgEMbbeeusyzwYBAr0hMNH37Fj/RonHXcTEjnjE15e//OWGSRyj9TZuc4/gSEwWKdLKK6+cdthhhzw4Op7HhBXlvBIg0HmB+IPFYYcdlubPn59OPfXUpg0Y63Njot9d4gJVyjRt2ABlCoAO0GD3Sldj5mfcThqx9wgizJkzZ1JNq1JflTKTaqTCBAhMSqDb79m4/h//+Mf04IMPppjNscoqq0yqPwoTINB+gVZ+blT9DIi7XGJhg1iwYL311ssXfGx/z12BAIGqAt1+z8bisPGZEYsrxr+Tpk/3xLqqY6kcgakoUOW7S5UyU9GmFW0WAG2FojoIECBAgAABAgQIECBAgAABAgQIEOhJAX9S6slh0SgCBAgQIECAAAECBAgQIECAAAECBFohIADaCkV1ECBAgAABAgQIECBAgAABAgQIECDQkwICoD05LBpFgAABAgQIECBAgAABAgQIECBAgEArBARAW6GoDgIECBAgQIAAAQIECBAgQIAAAQIEelJAALQnh0WjCBAgQIAAAQIECBAgQIAAAQIECBBohYAAaCsU1UGAAAECBAgQIECAAAECBAgQIECAQE8KCID25LBoFAECBAgQIECAAAECBAgQIECAAAECrRAQAG2FojoIECBAgAABAgQIECBAgAABAgQIEOhJAQHQnhwWjSJAgAABAgQIECBAgAABAgQIECBAoBUCAqCtUFQHAQIECBAgQIAAAQIECBAgQIAAAQI9KSAA2pPDolEECBAgQIAAAQIECBAgQIAAAQIECLRCQAC0FYrqIECAAAECBAhMQODggw9O06ZNy3+WL18+gZKtO3XTTTfNr7/nnnu2rlI1VRJ45JFHyt+HT3ziE5XqGK3Qfvvtl9e96qqrjnaKfAIECBAgQIBA3wsIgPb9EOsgAQIECBAg0GsCtVqt15qkPX0u4HeuzwdY9wgQIECAAIExBWaOedRBAgQIECBAgACBlgvMmjUrrbTSSi2vV4VTUyBmAxe/DzNn+no+NUdRqwkQIECAAIFeFvANq5dHR9sIECBAgACBvhQ47rjjUvxIBEJglVVWSU888QQMAgQIECBAgACBNgm4Bb5NsKolQIAAAQIECBAgQIAAAQIECBAgQKD7AmaAdn8MtIAAAQIECBAYMIFly5alu+66K+/1q171qnyRmth55pln0s9//vM8f4sttkixcM3TTz+drrvuunTVVVelhx9+OG299dZpm222Seuss05+3lj/eeihh9L3vve9dMstt6S11147veY1r0kvf/nL0/Tp4/8beNTxq1/9Kv+J7a222irNmzcvvehFLxpx6Th+00035flxm//8+fNHnBMZf/nLX9K1116bH4u2vPKVr2x63mQyb7755nT11Ven3/3ud/nt5S996UtT/GyyySal91j1x/j84he/SL/5zW/SU089lfc7+r7RRhuNVaw8dt9996UlS5ak3//+9/m4brbZZmnBggVp8803L88pNp599tl0zTXX5Lvrr79+2nDDDYtDDa8xS/S3v/1tuvHGG3PnuG1+7ty5+U/0bSLj2lBxtjOR9g4vO1Gr+t/zaHfMgI3f8/D+0Y9+lNZaa630ute9LoVZfSrKXXbZZWnGjBkp3iO77rpr8tiAeiXbBAgQIECAQFOB7IHoEgECBAgQIECAQAcFDjrooFgFKf/JgmvllR944IEy/9JLL6395Cc/qWWByzKvKJMFvmqf+9znynLNNo499thaFkAdUTYL4tWyAGwtCwTmx/bYY49mxWtZUK524okn1p7znOeMqCPa8Q//8A+1aG99ygJ0tSygVZ7/zW9+s/5wuX3IIYeU5xx66KFlfis2/vznP9eiT9lzNctrFG7xuvPOO+f9H+1aWRC39rGPfayWBXCbln/rW99au/fee0crXstWdK+9733va+qWBShr++yzz4jyWWC7vNbHP/7xpnV/9rOfrWWBwvK8+j7FdhZcrS1dunRE2fe85z15mTlz5ow4FhlV2ltUVNWq/vf88ssvr33/+9+vrb766iP6lgXaa2ET6cc//nEtC4w2PScLUhdN8kqAAAECBAgQaCqQmubKJECAAAECBAgQaJvAeAKgBx98cG3llVfOAz7ZrMHaG97whlo267MhAPSpT32qaRv333//8rwImu2yyy61d7zjHbVs1maen80yrK2xxhr5drMA6OOPP17baaedyjqe//zn50HFd7/73Q0Bzqgvm43Y0IZsZmdt9uzZedn11luvdv/99zccv+SSS2oRCIyg3V//9V/XstmgDccnsxMB2KizCA5GUHDfffetveUtb2kIsK255pq12267bcSlIti26aabluXXXXfd2u67717ba6+9ahtvvHFD/k9/+tMR5SP4uuWWWzac97d/+7e1N73pTQ0B0e22264WbS3SWAHQCET/zd/8TVlnjF305/3vf3/tjW98Y8PvRIz1cO+xAqBV2xvtnoxVfQD0wx/+cBlsjr5FgPp5z3te2d8IOF988cW1COBmMz1r2Qzm2g477NDgGeMcThIBAgQIECBAYDQBAdDRZOQTIECAAAECBNokMJ4AaATxIugWM0GLFEGeL37xi2VwKGZxZrcFF4fz15hNVwQAs9vra3fccUd5PMofdthh5fE4r1kA9KijjirP+ad/+qfao48+WtYRG1/72tfygFSUj+Dq8HT88ceX5SMAWaTsNuvaBhtskB+LAGx2e3hxqCWv55xzTnndz3zmMw11RqC1vl0LFy5sOB47EVQs7CIwVz87N46fcsopZXD3ZS972YjgbczuLMp/4AMfaAhyPvjggw31H3744VFlnsYKgGaPMCjr/NCHPlRbvnx5USx/jRmcRZAzrr1o0aKG48WxZjNAq7Y3LjAZq/oAaLQ5AtLZIx7Kdkefdtxxx7LfETCPwHL2KIjynDDLHgdRnpPdFl8es0GAAAECBAgQGC4gADpcxD4BAgQIECBAoM0C4w2A1gc/65sUQcUi0PbLX/6y/lAte85nfixuk7/77rsbjhU773rXu8rywwOgf/jDH2rPfe5z8+Mx83C09JWvfKWs49vf/nbDaRGUzZ7hWB7/wQ9+kB9/29veVuadf/75DWVasRMBwnCJW6WzZ0qOqDKCoC9+8YtrMbPz7//+7xuOX3jhhWXb3vnOdzYcq9854YQTyvNiu0jZsznL/Jg92yxFELR4pEH2LNFy1uJYAdDsGZd5vdlzQZv2Ka4TAeqYHRl933PPPRsuPVoAdDLtnaxVfQA0gpvZs1Ib2hw7P/zhD0vPOCdmFg9P//u//1ues6JHQgwva58AAQIECBAYLIHxPwE/+0YlESBAgAABAgQIdEYgFkeKhWCapVe84hVl9p/+9KdyO5vhWS4utN9++6Xs1vXyWP3GJz7xiVEXAjrzzDNTdgt8fvrRRx9dX6xhe++99y7rjzL1KQtYpS9/+cspm+WZZ2ezSNPpp5+esqBnvv/BD34wZbc21xdpyfYLXvCCvJ7sNvDyWvUVx2I5119/fbrnnntSNou1/lC+WFRkxOI6Y/X7n//5n1M2izUv+9WvfrWs4zvf+U65feSRR5bb9RvZcy7Tf/3Xf6Vs9mf65Cc/mbLZnPWHm24fd9xx6etf/3o644wz8rY1Oymb3VkunJQFQ5udMiJvMu2NhbUiVbWqb0ws6rXbbrvVZ+Xb2YzPMi97ZEC+8FaZ8f82smB2mXX77beX2zYIECBAgAABAsMFrAI/XMQ+AQIECBAgQKAHBLJnUY7aiuzW+PJYrKhepFjx/LHHHst3t99++yJ7xGusnh2rjd95550jjsXq6ZFihfFY8TybrTfinCIjuw08DyYWZYr8eH3hC1+YstvQU7ZYUrr11ltTdkt4fjhWoT/55JPrT23ZdjZjNQ8uRoXZDM906qmnpuwZnHmALVakzxZGGjWIGKu9RwrbZiu15wez/4RLNss2nXvuuSn6nc2dyOvNbuHOT4ngb/Yc0uL0Ea9vf/vbU/yMN0W746dZyhYhStlt4SlWRY9V3CPFaurjSZNp72St6tuXLXRUv1tuF8HzyBi+GnxxUgR+izSeYHJxrlcCBAgQIEBg8AQEQAdvzPWYAAECBAgQmAIC2QJDo7YyWxypPBazPov0q1/9qtgsZwSWGcM2IkDZLACa3Rqdn/nkk0+m7FbxYaWa70bgtQgE1p+R3UqeLrjggnT22Wfn2dHu7DmdeRCx/rxWbcdsws9//vMpZpxGIPDKK6/Mf2LGa7YgUxoaGkrZYlApW1AqxWzQ+lQf1KvPb7adPXs1z46ZssuWLUsxVtnjBvK8uE62gnyzYpPKiwBnzATNVnrPZ7HedNNNefC5aqWTae9krerbXB/orM+v3x7t9zAC2hIBAgQIECBAYDwCboEfj5JzCBAgQIAAAQIdFoiZhhNNEYgsUvYczGKz6WsE6pqlbNGkZtlj5mUrmqdsRfGm58SMyiJFUDLObWfKFufJZ0TGLMt6wwj4felLX0oxS/S1r31t+uMf/1g2I4K3d911V76frUBe5o+2UW9bzLzMFu7JT68/Nlr5ieZHADeCrAcccEB+C/3ll19eBj/nzp2bPvrRj447WF1cu2p7W2FVtCFe68eoPt82AQIECBAgQKCVAgKgrdRUFwECBAgQIECgiwLZAjvl1esDfGVm3UYRuKvLyjezxXby17hNPlucZ9w/66yzzvCq8tmX2crrZX7crh/PDi2eMVoeaPHGq1/96ny2ZDwLNFtgJx144IEp+lOkbPGcFM9YLR4fEDMJixm3zWbFFuWK1/ogcdHvonwxs7I4d7KvH//4x9O///u/52YRXI1nu376059OP/7xj1O2qFKKGbvxSIFs4aoJXapqe1thVd9QszjrNWwTIECAAAEC7RIQAG2XrHoJECBAgAABAh0WiNvai7SiRWFGOx4zCiPF8y3jVu5VV111XD/DA1kxwzBbbT5lK8KnmFV52mmn5fXGrdsHH3xwvt3u/8Qt97HAzkknnZRuuOGG/Nbxl770pfllI0Act8gXqej373//+yJr1NfinOhzMWO0eG5ozISNxweMlsL9mGOOSWeddVZ52/xo50aQugggRwA3nvcZiyHFTNB4DmksqlSkCPZGCu/xpMm0d7JW42mfcwgQIECAAAECrRQQAG2lproIECBAgAABAl0UiFu7i5mAxYrrzZoTwcB4dmWz9JKXvCTPjtvVv//97zc7Jc+LZ4++/vWvTzvuuGP6l3/5lxHnfeQjH0m33XZbnh8zFmP19De96U35fqyEPlbdIyobR0YE/mJ25Lbbbpv22WefpiUi+FkEFOOEn/70p+V5xYri4XLFFVeU+cM37r333vTDH/4wz47VyYtbuP/qr/6qPHXx4sXl9vCNWH194cKFeXA4ZnCOleJW97jlPFIsIlWsPj+8TDyTM2brRhrvIkiTae9krYa33z4BAgQIECBAoN0CAqDtFlY/AQIECBAgQKBDAhH8jEV+Il188cXpkksuaXrlCMAVgbXhJ7zvfe9Lq622Wp590EEHlavKDz8vZiLG6uMRpJs9e3bD4W984xv58zYjs37V8wh8rrnmmvm5733ve9Of/vSnhnKT2ZkxY0aKmZk/+9nP0le/+tX0y1/+sml19f3efvvty3M+/OEPl/049NBDRw0kHnXUUaVJYR2VxIJPxSMIYoZns5mY8fzTz372s/k1I9BcBJvLRgzbqF/ZvP75rvWnReCzPuBb3NZff06z7cm0d7JWzdojjwABAgQIECDQTgEB0HbqqpsAAQIECBAg0GGBuNV8/vz5+VX32GOPdO6555bBuIceeijtu+++KQKUo6XnP//5KYJ8keJ27ZhRefXVV5en33rrrek//uM/8tuwIzNW8Y6AWJHi1vKYrRgpbg+P2Z9FioWXTjnllHz3nnvuSbFgUSvTe97znry6CHJ+8IMfTMVq5cU1fvKTn6QPfehD+W60rT4AGreEf+xjH8uPxXk77bRTqg86xi3mUf9nPvOZ/Jx58+bl1yjqjsDu0Ucfne9ee+21aZdddkl/+MMfisP5oksRDC7aVBiXJzTZiOeUFo8WiIDzj370o3IsYwbuL37xi/TGN74xXXPNNWXpBx54oNwea2My7Z2s1VjtcowAAQIECBAg0BaB7AuiRIAAAQIECBAg0EGBbGZl3Nec/zz11FPllbPgVZl/xBFHlPnDN7JbrMvzLrjgguGHa9kiPbX111+/PCd7jmctm21Ymz59ep6XBdZq2UJB+XYWJB1RPptFWNt///3L8tHWLGBWy5792JCXzTitZbeLl+WzoFxt1113Lc/Jgq/lsfqN3XffvTzn9NNPrz806e0sSFnWnQUPa9lt47UsIFzLArtl/gte8IJathDSiGs9+uijtbe97W3ledHvOHezzTZryNtyyy1rWXB0RPns9vNadht+w7nZc1lzt8I+6vzXf/3XhrLZLM6yTLboUcOxOLf4XYnXbJZpLXv0QC17/meZn81ELa+bzcatxe9RkQqPOXPmFFnla9X2RgWTsRrP73n2HNWyf1lgumxz/Ub8nhY22XNl6w/ZJkCAAAECBAg0CJgBmn1rkggQIECAAAEC/SQQz4q88MIL09DQUN6tWJDoxhtvTDNnzkx/93d/lz/DMlYUHy3FeVlgMv3gBz9IWbAvZcG7FDMLY2GkSHG7eSxwFDMd62dRnnrqqfl145wskJj22muv2ByRPve5z5UL+MQK7UW9I06skBHtjlvtN9544/w2/1jVPdoZM05jtmr0P2ZMLliwYETtWZAwnXfeeelrX/ta2mSTTfLjd911VzkTNGawHn744fmM2E033XRE+XCJmZrf+ta3UnE8nika/YsZm1kgNX3729/OZ9COKDxKxqJFi9KJJ56Ytz1OiYWRLr300vyZny972ctSPG/0nHPOSXvvvXdeQ9w2P9YM3/rLTKa9k7Wqb4dtAgQIECBAgEC7BaZFOLTdF1E/AQIECBAgQIBAdwQiABjBz3hOZ9xSXSzaM5HWPP744/mt23F7+4te9KI8uBerw/dyioBjNhM2vw09FhuKQG4R1Bxvu+ORAUuXLk3xutFGG+XP7Izg8HhTXDfKx6rwsYr7hhtuON6iI86LOuKW/FhYat111837E0HIVqbJtHeyVq3sh7oIECBAgAABAsMFBECHi9gnQIAAAQIECBAgQIAAAQIECBAgQKBvBNwC3zdDqSMECBAgQIAAAQIECBAgQIAAAQIECAwXGP89PMNL2idAgAABAgQIECDQAoFnnnkmZQvaTKqmeJ7lrFmzJlWHwgQIECBAgAABAv0pYAZof46rXhEgQIAAAQIEpoxALJ608sorT+onW319yvRXQwkQIECAAAECBDorYAZoZ71djQABAgQIECBAYJjA2muvnS/qMyx7QruTWWBoQhdyMgECBAgQIECAwJQTsAjSlBsyDSZAgAABAgQIECBAgAABAgQIECBAYLwCboEfr5TzCBAgQIAAAQIECBAgQIAAAQIECBCYcgICoFNuyDSYAAECBAgQIECAAAECBAgQIECAAIHxCgiAjlfKeQQIECBAgAABAgQIECBAgAABAgQITDkBAdApN2QaTIAAAQIECBAgQIAAAQIECBAgQIDAeAUEQMcr5TwCBAgQIECAAAECBAgQIECAAAECBKacgADolBsyDSZAgAABAgQIECBAgAABAgQIECBAYLwCAqDjlXIeAQIECBAgQIAAAQIECBAgQIAAAQJTTkAAdMoNmQYTIECAAAECBAgQIECAAAECBAgQIDBeAQHQ8Uo5jwABAgQIECBAgAABAgQIECBAgACBKScgADrlhkyDCRAgQIAAAQIECBAgQIAAAQIECBAYr4AA6HilnEeAAAECBAgQIECAAAECBAgQIECAwJQTEACdckOmwQQIECBAgAABAgQIECBAgAABAgQIjFdAAHS8Us4jQIAAAQIECBAgQIAAAQIECBAgQGDKCfwfTBRXn7U4SMwAAAAASUVORK5CYII=" 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<pre class="r"><code># Test alpha 
alpha_socialcom &lt;- data.frame(df[ ,c(&quot;socialcompar_1&quot;,&quot;socialcompar_2&quot;,&quot;socialcompar_3&quot;,
                      &quot;socialcompar_4&quot;,
                      &quot;socialcompar_5&quot;,
                      &quot;socialcompar_6&quot;,
                      &quot;socialcompar_7&quot;,
                      &quot;socialcompar_8&quot;,
                      &quot;socialcompar_9&quot;,
                      &quot;socialcompar_10&quot;,
                      &quot;socialcompar_11&quot;,
                      &quot;socialcompar_12&quot;,
                      &quot;socialcompar_13rev&quot;)]) %&gt;%  # assign columns to a dataframe &quot;scale1&quot;
  psych::alpha() # calculate cronachs alpha

# crt  -----------------------------------------------------

# Recode crt in right and wrong answers and divde by three. crt1:3
# right answers
# 1: 5 kroner
# 2: 5minutter
# 3: 47 dage

df &lt;- df %&gt;%  
  mutate(crt1_true = 
           case_when(
             crt1 == 5 ~ 1,
             crt1 != 5 ~ 0)) %&gt;% 
  mutate(crt2_true = 
           case_when(
             crt2 == 5 ~ 1,
             crt2 != 5 ~ 0)) %&gt;% 
  mutate(crt3_true = 
           case_when(
             crt3 == 47 ~ 1,
             crt3 != 47 ~ 0)) %&gt;% 
  mutate(index_crt = (crt1_true+crt2_true+crt3_true)/3)


# Test alpha
alpha_crt &lt;- data.frame(df[, c(&quot;crt1_true&quot;, &quot;crt2_true&quot;, &quot;crt3_true&quot;)]) %&gt;%  # assign columns to a dataframe 
  psych::alpha() # calculate cronachs alpha. Alpha = 0.66

# Need for cognition -----------------------------------------------------------------
df &lt;- df %&gt;%
  mutate(across(
    c(&quot;needfcog_3&quot;,
        &quot;needfcog_4&quot;,
        &quot;needfcog_5&quot;,
        &quot;needfcog_7&quot;,
        &quot;needfcog_8&quot;,
        &quot;needfcog_9&quot;,
        &quot;needfcog_12&quot;,
        &quot;needfcog_16&quot;,
        &quot;needfcog_17&quot;),
    ~ case_when(
      .x == 1 ~ 7,
      .x == 2 ~ 6,
      .x == 3 ~ 5,
      .x == 5 ~ 3,
      .x == 6 ~ 2,
      .x == 7 ~ 1,
      TRUE ~ .x  # Keep other values as is
    ),
    .names = &quot;{col}rev&quot;
  ))

df %&gt;% select(needfcog_3, needfcog_3rev)</code></pre>
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                    &quot;needfcog_10&quot;,
                    &quot;needfcog_11&quot;,
                    &quot;needfcog_12rev&quot;,
                    &quot;needfcog_13&quot;,
                    &quot;needfcog_14&quot;,
                    &quot;needfcog_15&quot;,
                    &quot;needfcog_16rev&quot;,
                    &quot;needfcog_17rev&quot;,
                    &quot;needfcog_18&quot;)]) %&gt;% # assign columns to a dataframe
  psych::alpha() # calculate cronachs alpha. Alpha = 0.86

df &lt;- df %&gt;%
  mutate(
    index_nfc = (
      needfcog_1 +
        needfcog_2 +
        needfcog_3rev +
        needfcog_4rev +
        needfcog_5rev +
        needfcog_6 +
        needfcog_7rev +
        needfcog_8rev +
        needfcog_9rev +
        needfcog_10 +
        needfcog_11 +
        needfcog_12rev +
        needfcog_13 +
        needfcog_14 +
        needfcog_15 +
        needfcog_16rev +
        needfcog_17rev +
        needfcog_18)/18)

df$index_nfc &lt;- rescale(df$index_nfc)

#### SAVE DATA WAVE 1 ----
wave1 &lt;- df
save(wave1, file = here::here( &quot;wave1_data.Rdata&quot;))</code></pre>
</div>
<div id="wave-2" class="section level2">
<h2>Wave 2</h2>
<pre class="r"><code>df &lt;- read_dta(here::here(&quot;wave2.dta&quot;)) %&gt;% 
  clean_names() %&gt;% 
  rename(treatment = splitgroup) 

df$wave = 2
names(df)[136:175] &lt;-gsub(&quot;\\_&quot;,&quot;&quot;,names(df)[136:175]) # Remove underscore from sharing_n

df_raw &lt;- df

#Reshape from wide to long using sharing
df &lt;- df_raw %&gt;%
  pivot_longer(col = c(sharing1:sharing40),
               names_to = &quot;headline&quot;,
               names_prefix = &quot;sharing&quot;,
               values_to = &quot;sharing_all&quot;,
               values_drop_na = FALSE) %&gt;%
  dplyr::select(caseid_w2, sharing_all, headline, treatment, m_m_headline_rnd, m_m_headline_rnd_1, -fake_list_to_show_1:-real_list_to_show_20, everything()) %&gt;% 
  mutate(headline = as.numeric(headline)) %&gt;% 
  dplyr::rename(resid = caseid_w1,
                resid2 = caseid_w2)



df &lt;- df %&gt;%  # Create dichotomous &quot;real&quot; variable
  mutate(
    real =
      case_when(headline &lt;= 20 ~ 0,
                headline &gt; 20 ~ 1),
    treatment = factor(
      treatment,
      levels = c(1, 2, 3, 4),
      labels = c(&quot;Control&quot;,
                 &quot;Nudge&quot;,
                 &quot;Short&quot;,
                 &quot;Long&quot;)
    ),
    real = factor(
      real,
      levels = c(0, 1),
      labels = c(&quot;fake&quot;,
                 &quot;real&quot;)
    )
  )


# Create a sharing_fake DV
df &lt;- df %&gt;% 
  mutate(sharing_fake = case_when(
    real == &quot;fake&quot; &amp; sharing_all == 1 ~ 1,
    real == &quot;fake&quot; &amp; sharing_all == 2 ~ 2,
    real == &quot;fake&quot; &amp; sharing_all == 3 ~ 3,
    real == &quot;fake&quot; &amp; sharing_all == 4 ~ 4,
    real == &quot;fake&quot; &amp; sharing_all == 5 ~ 5,
    real == &quot;fake&quot; &amp; sharing_all == 6 ~ 6))

# Create a sharing_real DV
df &lt;- df %&gt;% 
  mutate(sharing_real = case_when(
    real == &quot;real&quot; &amp; sharing_all == 1 ~ 1,
    real == &quot;real&quot; &amp; sharing_all == 2 ~ 2,
    real == &quot;real&quot; &amp; sharing_all == 3 ~ 3,
    real == &quot;real&quot; &amp; sharing_all == 4 ~ 4,
    real == &quot;real&quot; &amp; sharing_all == 5 ~ 5,
    real == &quot;real&quot; &amp; sharing_all == 6 ~ 6))


# Rescale headline from 1-4 to 0-1
df = df %&gt;% 
  mutate(across(c(&quot;sharing_all&quot;,&quot;sharing_fake&quot;,&quot;sharing_real&quot;),
                ~ rescale(as.numeric(.x))))

dflong &lt;- df
dflong &lt;- dflong %&gt;% 
  dplyr::select(resid, sharing_all, treatment, real, headline)

df %&gt;% 
  group_by(real) %&gt;% 
        summarise(mean = mean(sharing_all, na.rm = T))</code></pre>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["real"],"name":[1],"type":["fct"],"align":["left"]},{"label":["mean"],"name":[2],"type":["dbl"],"align":["right"]}],"data":[{"1":"fake","2":"0.1378554"},{"1":"real","2":"0.2638710"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
  </script>
</div>
<pre class="r"><code># BACKGROUND VARIABLES ----------------------------------------
##### gender -----------------------------------------------------
names(df)[names(df) == &quot;gender&quot;] &lt;- &quot;female&quot;
df$female[df$female== 2 ] &lt;- 0
val_labels(df$female) &lt;- c(&quot;male&quot; = 0, &quot;female&quot; = 1)
var_label(df$female) &lt;- &quot;Gender&quot;

# profile_age1 -----------------------------------------------------
df$age4 &lt;- factor(df$profile_age1, # country
                  levels=c(1,2,3,4),
                  labels=c(&quot;18-34&quot;,
                           &quot;35-54&quot;,
                           &quot;55-69&quot;,
                           &quot;70+&quot;))
var_label(df$age4) &lt;- &quot;Age: 4 categories&quot;

# profile_age2 -----------------------------------------------------
names(df)[names(df) == &quot;profile_age2&quot;] &lt;- &quot;age14&quot;
val_labels(df$age14) &lt;- c(&quot;18-22&quot; = 1,
                         &quot;23-27&quot; = 2,
                         &quot;28-32&quot; = 3,
                         &quot;33-37&quot; = 4,
                         &quot;38-42&quot; = 5,
                         &quot;43-47&quot; = 6,
                         &quot;48-52&quot; = 7,
                         &quot;53-57&quot; = 8,
                         &quot;58-62&quot; = 9,
                         &quot;63-67&quot; = 10,
                         &quot;68-72&quot; = 11,
                         &quot;73-77&quot; = 12,
                         &quot;78-82&quot; = 13,
                         &quot;83-89&quot; = 14)
var_label(df$age14) &lt;- &quot;Age: 14 categories in five year intervals&quot;

# profile_education -----------------------------------------------------
names(df)[names(df) == &quot;profile_education_rc&quot;] &lt;- &quot;educ3&quot;
# ft_next -----------------------------------------------------
names(df)[names(df) == &quot;ft_next&quot;] &lt;- &quot;vote_next&quot;
var_label(df$vote_next) &lt;- &quot;Who would you vote for in the next parliamentary election?&quot;
df &lt;- df %&gt;% 
  mutate(vote_next2 = 
           case_when(
             vote_next == 1 ~ 0,
             vote_next == 2 ~ 0,
             vote_next == 3 ~ 1,
             vote_next == 4 ~ 0,
             vote_next == 5 ~ 1,
             vote_next == 6 ~ 1,
             vote_next == 7 ~ 1,
             vote_next == 8 ~ 1,
             vote_next == 9 ~ 0,
             vote_next == 16 ~ 0, 
             vote_next == 17 ~ 1,
             vote_next == 18 ~ 1,
             vote_next == 19 ~ 1,
             vote_next == 20 ~ 0))

val_labels(df$vote_next2) &lt;- c(&quot;Left-wing&quot; = 0,
                     &quot;Right-wing&quot; = 1)
# ft19 -----------------------------------------------------
names(df)</code></pre>
<pre><code>##   [1] &quot;resid2&quot;                &quot;sharing_all&quot;           &quot;headline&quot;             
##   [4] &quot;treatment&quot;             &quot;m_m_headline_rnd&quot;      &quot;m_m_headline_rnd_1&quot;   
##   [7] &quot;resid&quot;                 &quot;split_non_covid&quot;       &quot;q1&quot;                   
##  [10] &quot;v1&quot;                    &quot;v2&quot;                    &quot;tech_cond3&quot;           
##  [13] &quot;tech_cond4&quot;            &quot;fake_list&quot;             &quot;selected_fake_list&quot;   
##  [16] &quot;fake_list_to_show_1&quot;   &quot;fake_list_to_show_2&quot;   &quot;fake_list_to_show_3&quot;  
##  [19] &quot;fake_list_to_show_4&quot;   &quot;fake_list_to_show_5&quot;   &quot;fake_list_to_show_6&quot;  
##  [22] &quot;fake_list_to_show_7&quot;   &quot;fake_list_to_show_8&quot;   &quot;fake_list_to_show_9&quot;  
##  [25] &quot;fake_list_to_show_10&quot;  &quot;fake_list_to_show_11&quot;  &quot;fake_list_to_show_12&quot; 
##  [28] &quot;fake_list_to_show_13&quot;  &quot;fake_list_to_show_14&quot;  &quot;fake_list_to_show_15&quot; 
##  [31] &quot;fake_list_to_show_16&quot;  &quot;fake_list_to_show_17&quot;  &quot;fake_list_to_show_18&quot; 
##  [34] &quot;fake_list_to_show_19&quot;  &quot;fake_list_to_show_20&quot;  &quot;real_list&quot;            
##  [37] &quot;selected_real_list&quot;    &quot;real_list_to_show_1&quot;   &quot;real_list_to_show_2&quot;  
##  [40] &quot;real_list_to_show_3&quot;   &quot;real_list_to_show_4&quot;   &quot;real_list_to_show_5&quot;  
##  [43] &quot;real_list_to_show_6&quot;   &quot;real_list_to_show_7&quot;   &quot;real_list_to_show_8&quot;  
##  [46] &quot;real_list_to_show_9&quot;   &quot;real_list_to_show_10&quot;  &quot;real_list_to_show_11&quot; 
##  [49] &quot;real_list_to_show_12&quot;  &quot;real_list_to_show_13&quot;  &quot;real_list_to_show_14&quot; 
##  [52] &quot;real_list_to_show_15&quot;  &quot;real_list_to_show_16&quot;  &quot;real_list_to_show_17&quot; 
##  [55] &quot;real_list_to_show_18&quot;  &quot;real_list_to_show_19&quot;  &quot;real_list_to_show_20&quot; 
##  [58] &quot;headline_order1&quot;       &quot;headline_order2&quot;       &quot;headline_order3&quot;      
##  [61] &quot;headline_order4&quot;       &quot;headline_order5&quot;       &quot;headline_order6&quot;      
##  [64] &quot;headline_order7&quot;       &quot;headline_order8&quot;       &quot;headline_order9&quot;      
##  [67] &quot;headline_order10&quot;      &quot;headline_order11&quot;      &quot;headline_order12&quot;     
##  [70] &quot;headline_order13&quot;      &quot;headline_order14&quot;      &quot;headline_order15&quot;     
##  [73] &quot;headline_order16&quot;      &quot;headline_order17&quot;      &quot;headline_order18&quot;     
##  [76] &quot;headline_order19&quot;      &quot;headline_order20&quot;      &quot;headline_order21&quot;     
##  [79] &quot;headline_order22&quot;      &quot;headline_order23&quot;      &quot;headline_order24&quot;     
##  [82] &quot;headline_order25&quot;      &quot;headline_order26&quot;      &quot;headline_order27&quot;     
##  [85] &quot;headline_order28&quot;      &quot;headline_order29&quot;      &quot;headline_order30&quot;     
##  [88] &quot;headline_order31&quot;      &quot;headline_order32&quot;      &quot;headline_order33&quot;     
##  [91] &quot;headline_order34&quot;      &quot;headline_order35&quot;      &quot;headline_order36&quot;     
##  [94] &quot;headline_order37&quot;      &quot;headline_order38&quot;      &quot;headline_order39&quot;     
##  [97] &quot;headline_order40&quot;      &quot;headline_show_order1&quot;  &quot;headline_show_order2&quot; 
## [100] &quot;headline_show_order3&quot;  &quot;headline_show_order4&quot;  &quot;headline_show_order5&quot; 
## [103] &quot;headline_show_order6&quot;  &quot;headline_show_order7&quot;  &quot;headline_show_order8&quot; 
## [106] &quot;headline_show_order9&quot;  &quot;headline_show_order10&quot; &quot;headline_show_order11&quot;
## [109] &quot;headline_show_order12&quot; &quot;headline_show_order13&quot; &quot;headline_show_order14&quot;
## [112] &quot;headline_show_order15&quot; &quot;headline_show_order16&quot; &quot;headline_show_order17&quot;
## [115] &quot;headline_show_order18&quot; &quot;headline_show_order19&quot; &quot;headline_show_order20&quot;
## [118] &quot;headline_show_order21&quot; &quot;headline_show_order22&quot; &quot;headline_show_order23&quot;
## [121] &quot;headline_show_order24&quot; &quot;headline_show_order25&quot; &quot;headline_show_order26&quot;
## [124] &quot;headline_show_order27&quot; &quot;headline_show_order28&quot; &quot;headline_show_order29&quot;
## [127] &quot;headline_show_order30&quot; &quot;headline_show_order31&quot; &quot;headline_show_order32&quot;
## [130] &quot;headline_show_order33&quot; &quot;headline_show_order34&quot; &quot;headline_show_order35&quot;
## [133] &quot;headline_show_order36&quot; &quot;headline_show_order37&quot; &quot;headline_show_order38&quot;
## [136] &quot;headline_show_order39&quot; &quot;headline_show_order40&quot; &quot;attention1_1&quot;         
## [139] &quot;attention1_2&quot;          &quot;attention1_3&quot;          &quot;attention1_4&quot;         
## [142] &quot;attention1_5&quot;          &quot;attention1_6&quot;          &quot;attention1_7&quot;         
## [145] &quot;attention1_8&quot;          &quot;attention2&quot;            &quot;female&quot;               
## [148] &quot;profile_age1&quot;          &quot;age14&quot;                 &quot;region&quot;               
## [151] &quot;profile_education&quot;     &quot;personal_income&quot;       &quot;household_income&quot;     
## [154] &quot;vote_next&quot;             &quot;ft19&quot;                  &quot;educ3&quot;                
## [157] &quot;tot_time&quot;              &quot;endtime&quot;               &quot;duration&quot;             
## [160] &quot;wave&quot;                  &quot;real&quot;                  &quot;sharing_fake&quot;         
## [163] &quot;sharing_real&quot;          &quot;age4&quot;                  &quot;vote_next2&quot;</code></pre>
<pre class="r"><code># Income
names(df)[names(df) == &quot;household_income&quot;] &lt;- &quot;income_hh&quot;
df$income_hh[df$income_hh== 12 ] &lt;- NA
df$income_hh[df$income_hh== 13 ] &lt;- NA

# Attention -  Tidligere så du en video fra sundhedsmyndighederne, der gav 3 spørgsmål, man kan stille sig selv for at spotte forkert information. Hvad var de tre spørgsmål? 

df &lt;- df %&gt;% 
  mutate(advice3 = 
           case_when(
             attention1_1 == 1 &amp; attention1_3 == 1 &amp; attention1_4 == 1 ~ 1,
             attention1_1 == 0 | attention1_3 == 0 | attention1_4 == 0 ~ 0))

df$advice_who &lt;- df$attention1_1
df$advice_howmany &lt;- df$attention1_3
df$advice_wild &lt;- df$attention1_4



# CREATE ORDER VARIABLE
df$headline_helper &lt;- factor(df$headline,
                               levels=c(1:40),
                               labels=c(&quot;f1&quot;,&quot;f2&quot;,&quot;f3&quot;,&quot;f4&quot;,&quot;f5&quot;,
                                        &quot;f6&quot;,&quot;f7&quot;,&quot;f8&quot;,&quot;f9&quot;,&quot;f10&quot;, 
                                        &quot;f11&quot;,&quot;f12&quot;,&quot;f13&quot;,&quot;f14&quot;,&quot;f15&quot;,
                                        &quot;f16&quot;,&quot;f17&quot;,&quot;f18&quot;,&quot;f19&quot;,&quot;f20&quot;,
                                        &quot;r1&quot;,&quot;r2&quot;,&quot;r3&quot;,&quot;r4&quot;,&quot;r5&quot;,
                                        &quot;r6&quot;,&quot;r7&quot;,&quot;r8&quot;,&quot;r9&quot;,&quot;r10&quot;,
                                        &quot;r11&quot;,&quot;r12&quot;,&quot;r13&quot;,&quot;r14&quot;,&quot;r15&quot;,
                                        &quot;r16&quot;,&quot;r17&quot;,&quot;r18&quot;,&quot;r19&quot;,&quot;r20&quot;))


# Create order variable where headline = order position
df &lt;- df %&gt;%
  mutate(
    order = case_when(
      headline_helper == headline_order1 ~ 1,
      headline_helper == headline_order2 ~ 2,
      headline_helper == headline_order3 ~ 3,
      headline_helper == headline_order4 ~ 4,
      headline_helper == headline_order5 ~ 5,
      headline_helper == headline_order6 ~ 6,
      headline_helper == headline_order7 ~ 7,
      headline_helper == headline_order8 ~ 8,
      headline_helper == headline_order9 ~ 9,
      headline_helper == headline_order10 ~ 10,
      headline_helper == headline_order11 ~ 11,
      headline_helper == headline_order12 ~ 12,
      headline_helper == headline_order13 ~ 13,
      headline_helper == headline_order14 ~ 14,
      headline_helper == headline_order15 ~ 15,
      headline_helper == headline_order16 ~ 16,
      headline_helper == headline_order17 ~ 17,
      headline_helper == headline_order18 ~ 18,
      headline_helper == headline_order19 ~ 19,
      headline_helper == headline_order20 ~ 20,
      headline_helper == headline_order21 ~ 21,
      headline_helper == headline_order22 ~ 22,
      headline_helper == headline_order23 ~ 23,
      headline_helper == headline_order24 ~ 24,
      headline_helper == headline_order25 ~ 25,
      headline_helper == headline_order26 ~ 26,
      headline_helper == headline_order27 ~ 27,
      headline_helper == headline_order28 ~ 28,
      headline_helper == headline_order29 ~ 29,
      headline_helper == headline_order30 ~ 30,
      headline_helper == headline_order31 ~ 31,
      headline_helper == headline_order32 ~ 32,
      headline_helper == headline_order33 ~ 33,
      headline_helper == headline_order34 ~ 34,
      headline_helper == headline_order35 ~ 35,
      headline_helper == headline_order36 ~ 36,
      headline_helper == headline_order37 ~ 37,
      headline_helper == headline_order38 ~ 38,
      headline_helper == headline_order39 ~ 39,
      headline_helper == headline_order40 ~ 40
    )
  )

#### SAVE DATA WAVE 2 ----
wave2 &lt;- df
save(wave2, file = here::here( &quot;wave2_data.Rdata&quot;))
# save(dataobjectname, file = here::here(&quot;foldername&quot;, &quot;namefile&quot;))</code></pre>
</div>
<div id="wave-3" class="section level2">
<h2>Wave 3</h2>
<pre class="r"><code>df &lt;- clean_names(read_dta(here::here(&quot;wave3.dta&quot;))) %&gt;% 
  dplyr::rename(treatment = splitgroup) %&gt;% 
  dplyr::rename(resid = caseid) 

df %&gt;% glimpse()</code></pre>
<pre><code>## Rows: 2,012
## Columns: 184
## $ resid                 &lt;dbl&gt; 1324493761, 1324494437, 1322045857, 1321857837, …
## $ treatment             &lt;dbl+lbl&gt; 4, 3, 2, 2, 3, 1, 1, 3, 2, 4, 3, 1, 1, 2, 2,…
## $ split_non_covid       &lt;dbl+lbl&gt; NA, NA,  4,  4, NA, NA, NA, NA,  1, NA, NA, …
## $ q1                    &lt;dbl+lbl&gt; NA, NA,  1,  1, NA, NA, NA, NA,  2, NA, NA, …
## $ v1                    &lt;dbl+lbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ v2                    &lt;dbl+lbl&gt; NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ tech_cond3            &lt;dbl+lbl&gt; NA,  1, NA, NA,  1, NA, NA,  3, NA, NA,  1, …
## $ tech_cond4            &lt;dbl+lbl&gt;  1, NA, NA, NA, NA, NA, NA, NA, NA,  1, NA, …
## $ bat_pmt_1             &lt;dbl+lbl&gt; 4, 1, 1, 3, 2, 1, 5, 4, 4, 3, 4, 2, 2, 2, 4,…
## $ bat_pmt_2             &lt;dbl+lbl&gt; 6, 7, 7, 4, 6, 7, 7, 4, 5, 6, 7, 5, 4, 5, 4,…
## $ bat_pmt_3             &lt;dbl+lbl&gt; 7, 7, 7, 6, 7, 7, 2, 4, 2, 7, 5, 6, 7, 6, 4,…
## $ bat_pmt_4             &lt;dbl+lbl&gt; 7, 7, 7, 6, 7, 7, 6, 4, 3, 6, 7, 6, 7, 6, 4,…
## $ bat_pmt_5             &lt;dbl+lbl&gt; 4, 7, 6, 3, 6, 7, 7, 4, 4, 7, 7, 3, 5, 5, 4,…
## $ bat_pmt_6             &lt;dbl+lbl&gt; 7, 7, 6, 3, 7, 7, 3, 4, 6, 7, 7, 7, 5, 5, 4,…
## $ fake_list             &lt;chr&gt; &quot;[f1, f2, f3, f4, f5, f6, f7, f8, f9, f10, f11, …
## $ selected_fake_list    &lt;chr&gt; &quot;[4, 12, 5, 20, 13, 11, 8, 9, 16, 3]&quot;, &quot;[17, 5, …
## $ fake_list_to_show_1   &lt;dbl+lbl&gt; 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0,…
## $ fake_list_to_show_2   &lt;dbl+lbl&gt; 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0,…
## $ fake_list_to_show_3   &lt;dbl+lbl&gt; 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0,…
## $ fake_list_to_show_4   &lt;dbl+lbl&gt; 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1,…
## $ fake_list_to_show_5   &lt;dbl+lbl&gt; 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0,…
## $ fake_list_to_show_6   &lt;dbl+lbl&gt; 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1,…
## $ fake_list_to_show_7   &lt;dbl+lbl&gt; 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1,…
## $ fake_list_to_show_8   &lt;dbl+lbl&gt; 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,…
## $ fake_list_to_show_9   &lt;dbl+lbl&gt; 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1,…
## $ fake_list_to_show_10  &lt;dbl+lbl&gt; 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1,…
## $ fake_list_to_show_11  &lt;dbl+lbl&gt; 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1,…
## $ fake_list_to_show_12  &lt;dbl+lbl&gt; 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1,…
## $ fake_list_to_show_13  &lt;dbl+lbl&gt; 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1,…
## $ fake_list_to_show_14  &lt;dbl+lbl&gt; 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0,…
## $ fake_list_to_show_15  &lt;dbl+lbl&gt; 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1,…
## $ fake_list_to_show_16  &lt;dbl+lbl&gt; 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0,…
## $ fake_list_to_show_17  &lt;dbl+lbl&gt; 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0,…
## $ fake_list_to_show_18  &lt;dbl+lbl&gt; 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0,…
## $ fake_list_to_show_19  &lt;dbl+lbl&gt; 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1,…
## $ fake_list_to_show_20  &lt;dbl+lbl&gt; 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0,…
## $ real_list             &lt;chr&gt; &quot;[r1, r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, …
## $ selected_real_list    &lt;chr&gt; &quot;[17, 7, 4, 3, 10, 2, 15, 11, 1, 6]&quot;, &quot;[8, 14, 1…
## $ real_list_to_show_1   &lt;dbl+lbl&gt; 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1,…
## $ real_list_to_show_2   &lt;dbl+lbl&gt; 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0,…
## $ real_list_to_show_3   &lt;dbl+lbl&gt; 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1,…
## $ real_list_to_show_4   &lt;dbl+lbl&gt; 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0,…
## $ real_list_to_show_5   &lt;dbl+lbl&gt; 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1,…
## $ real_list_to_show_6   &lt;dbl+lbl&gt; 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0,…
## $ real_list_to_show_7   &lt;dbl+lbl&gt; 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0,…
## $ real_list_to_show_8   &lt;dbl+lbl&gt; 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0,…
## $ real_list_to_show_9   &lt;dbl+lbl&gt; 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1,…
## $ real_list_to_show_10  &lt;dbl+lbl&gt; 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1,…
## $ real_list_to_show_11  &lt;dbl+lbl&gt; 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0,…
## $ real_list_to_show_12  &lt;dbl+lbl&gt; 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1,…
## $ real_list_to_show_13  &lt;dbl+lbl&gt; 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1,…
## $ real_list_to_show_14  &lt;dbl+lbl&gt; 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1,…
## $ real_list_to_show_15  &lt;dbl+lbl&gt; 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0,…
## $ real_list_to_show_16  &lt;dbl+lbl&gt; 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0,…
## $ real_list_to_show_17  &lt;dbl+lbl&gt; 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1,…
## $ real_list_to_show_18  &lt;dbl+lbl&gt; 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0,…
## $ real_list_to_show_19  &lt;dbl+lbl&gt; 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0,…
## $ real_list_to_show_20  &lt;dbl+lbl&gt; 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1,…
## $ m_m_headline_rnd      &lt;chr&gt; &quot;[30,5,14,2,10,11,9,13,38,1,31,21,20,37,28,36,25…
## $ m_m_headline_rnd_1    &lt;chr&gt; &quot;[r11,f6,f15,f3,f11,f12,f10,f14,r19,f2,r12,r2,r1…
## $ headline_order1       &lt;chr&gt; &quot;r11&quot;, &quot;f1&quot;, &quot;r5&quot;, &quot;f6&quot;, &quot;f7&quot;, &quot;f7&quot;, &quot;f3&quot;, &quot;f17&quot;…
## $ headline_order2       &lt;chr&gt; &quot;f6&quot;, &quot;f20&quot;, &quot;r9&quot;, &quot;f1&quot;, &quot;f11&quot;, &quot;r1&quot;, &quot;f4&quot;, &quot;f7&quot;…
## $ headline_order3       &lt;chr&gt; &quot;f15&quot;, &quot;f2&quot;, &quot;r19&quot;, &quot;f10&quot;, &quot;f19&quot;, &quot;r16&quot;, &quot;f11&quot;, …
## $ headline_order4       &lt;chr&gt; &quot;f3&quot;, &quot;f10&quot;, &quot;r18&quot;, &quot;r15&quot;, &quot;r15&quot;, &quot;f2&quot;, &quot;f7&quot;, &quot;f…
## $ headline_order5       &lt;chr&gt; &quot;f11&quot;, &quot;r7&quot;, &quot;r2&quot;, &quot;r19&quot;, &quot;f8&quot;, &quot;r7&quot;, &quot;r5&quot;, &quot;r20…
## $ headline_order6       &lt;chr&gt; &quot;f12&quot;, &quot;r16&quot;, &quot;f2&quot;, &quot;f12&quot;, &quot;f17&quot;, &quot;r19&quot;, &quot;r2&quot;, &quot;…
## $ headline_order7       &lt;chr&gt; &quot;f10&quot;, &quot;r10&quot;, &quot;r4&quot;, &quot;r12&quot;, &quot;f14&quot;, &quot;r4&quot;, &quot;r3&quot;, &quot;r…
## $ headline_order8       &lt;chr&gt; &quot;f14&quot;, &quot;r19&quot;, &quot;r12&quot;, &quot;f15&quot;, &quot;r10&quot;, &quot;f3&quot;, &quot;f17&quot;, …
## $ headline_order9       &lt;chr&gt; &quot;r19&quot;, &quot;r3&quot;, &quot;r11&quot;, &quot;r10&quot;, &quot;f15&quot;, &quot;f14&quot;, &quot;f8&quot;, &quot;…
## $ headline_order10      &lt;chr&gt; &quot;f2&quot;, &quot;f9&quot;, &quot;f4&quot;, &quot;r18&quot;, &quot;r17&quot;, &quot;f6&quot;, &quot;f20&quot;, &quot;f8…
## $ headline_order11      &lt;chr&gt; &quot;r12&quot;, &quot;f8&quot;, &quot;f18&quot;, &quot;f17&quot;, &quot;f20&quot;, &quot;r2&quot;, &quot;r12&quot;, &quot;…
## $ headline_order12      &lt;chr&gt; &quot;r2&quot;, &quot;f17&quot;, &quot;f16&quot;, &quot;f2&quot;, &quot;f5&quot;, &quot;f10&quot;, &quot;r10&quot;, &quot;r…
## $ headline_order13      &lt;chr&gt; &quot;r1&quot;, &quot;r14&quot;, &quot;f15&quot;, &quot;f8&quot;, &quot;r13&quot;, &quot;r6&quot;, &quot;f5&quot;, &quot;f9…
## $ headline_order14      &lt;chr&gt; &quot;r18&quot;, &quot;r18&quot;, &quot;r16&quot;, &quot;r1&quot;, &quot;r5&quot;, &quot;f13&quot;, &quot;r6&quot;, &quot;r…
## $ headline_order15      &lt;chr&gt; &quot;r9&quot;, &quot;f7&quot;, &quot;r20&quot;, &quot;r9&quot;, &quot;r9&quot;, &quot;r12&quot;, &quot;r19&quot;, &quot;r1…
## $ headline_order16      &lt;chr&gt; &quot;r17&quot;, &quot;r1&quot;, &quot;f14&quot;, &quot;r6&quot;, &quot;r14&quot;, &quot;r5&quot;, &quot;f2&quot;, &quot;f2…
## $ headline_order17      &lt;chr&gt; &quot;r6&quot;, &quot;f4&quot;, &quot;f20&quot;, &quot;f3&quot;, &quot;f3&quot;, &quot;r20&quot;, &quot;r8&quot;, &quot;r18…
## $ headline_order18      &lt;chr&gt; &quot;f7&quot;, &quot;r6&quot;, &quot;f10&quot;, &quot;r8&quot;, &quot;f6&quot;, &quot;f4&quot;, &quot;f13&quot;, &quot;r7&quot;…
## $ headline_order19      &lt;chr&gt; &quot;r20&quot;, &quot;f19&quot;, &quot;f13&quot;, &quot;f16&quot;, &quot;r11&quot;, &quot;f17&quot;, &quot;r4&quot;, …
## $ headline_order20      &lt;chr&gt; &quot;f19&quot;, &quot;f14&quot;, &quot;r15&quot;, &quot;f5&quot;, &quot;r4&quot;, &quot;f12&quot;, &quot;r9&quot;, &quot;f…
## $ headline_order21      &lt;chr&gt; &quot;r10&quot;, &quot;f16&quot;, &quot;r17&quot;, &quot;f13&quot;, &quot;r18&quot;, &quot;f19&quot;, &quot;r14&quot;,…
## $ headline_order22      &lt;chr&gt; &quot;f20&quot;, &quot;r8&quot;, &quot;f9&quot;, &quot;f4&quot;, &quot;f4&quot;, &quot;r14&quot;, &quot;r13&quot;, &quot;f1…
## $ headline_order23      &lt;chr&gt; &quot;r16&quot;, &quot;r13&quot;, &quot;f12&quot;, &quot;f14&quot;, &quot;f16&quot;, &quot;r8&quot;, &quot;f16&quot;, …
## $ headline_order24      &lt;chr&gt; &quot;r8&quot;, &quot;f15&quot;, &quot;r8&quot;, &quot;f11&quot;, &quot;r3&quot;, &quot;r11&quot;, &quot;r20&quot;, &quot;r…
## $ headline_order25      &lt;chr&gt; &quot;r5&quot;, &quot;f13&quot;, &quot;f17&quot;, &quot;r4&quot;, &quot;f1&quot;, &quot;f11&quot;, &quot;f10&quot;, &quot;f…
## $ headline_order26      &lt;chr&gt; &quot;r13&quot;, &quot;f18&quot;, &quot;f3&quot;, &quot;r3&quot;, &quot;f9&quot;, &quot;r18&quot;, &quot;r18&quot;, &quot;r…
## $ headline_order27      &lt;chr&gt; &quot;f4&quot;, &quot;r2&quot;, &quot;f1&quot;, &quot;r20&quot;, &quot;f2&quot;, &quot;r13&quot;, &quot;r7&quot;, &quot;r14…
## $ headline_order28      &lt;chr&gt; &quot;f5&quot;, &quot;r11&quot;, &quot;f7&quot;, &quot;f7&quot;, &quot;r1&quot;, &quot;f9&quot;, &quot;f9&quot;, &quot;r9&quot;,…
## $ headline_order29      &lt;chr&gt; &quot;f8&quot;, &quot;f5&quot;, &quot;f6&quot;, &quot;r7&quot;, &quot;r6&quot;, &quot;f18&quot;, &quot;r11&quot;, &quot;f4&quot;…
## $ headline_order30      &lt;chr&gt; &quot;r4&quot;, &quot;f12&quot;, &quot;r7&quot;, &quot;r11&quot;, &quot;r8&quot;, &quot;r10&quot;, &quot;f6&quot;, &quot;f1…
## $ headline_order31      &lt;chr&gt; &quot;r15&quot;, &quot;r12&quot;, &quot;r3&quot;, &quot;f19&quot;, &quot;f13&quot;, &quot;r3&quot;, &quot;r1&quot;, &quot;r…
## $ headline_order32      &lt;chr&gt; &quot;f9&quot;, &quot;f6&quot;, &quot;r1&quot;, &quot;r14&quot;, &quot;r2&quot;, &quot;f8&quot;, &quot;f15&quot;, &quot;f5&quot;…
## $ headline_order33      &lt;chr&gt; &quot;r3&quot;, &quot;r4&quot;, &quot;r10&quot;, &quot;r17&quot;, &quot;f12&quot;, &quot;f15&quot;, &quot;r17&quot;, &quot;…
## $ headline_order34      &lt;chr&gt; &quot;r14&quot;, &quot;r5&quot;, &quot;f11&quot;, &quot;r5&quot;, &quot;f10&quot;, &quot;f5&quot;, &quot;f12&quot;, &quot;f…
## $ headline_order35      &lt;chr&gt; &quot;f1&quot;, &quot;r9&quot;, &quot;r13&quot;, &quot;r13&quot;, &quot;r12&quot;, &quot;f16&quot;, &quot;f19&quot;, &quot;…
## $ headline_order36      &lt;chr&gt; &quot;f17&quot;, &quot;f3&quot;, &quot;r14&quot;, &quot;r16&quot;, &quot;r7&quot;, &quot;f1&quot;, &quot;r16&quot;, &quot;r…
## $ headline_order37      &lt;chr&gt; &quot;f18&quot;, &quot;r15&quot;, &quot;f5&quot;, &quot;f20&quot;, &quot;f18&quot;, &quot;r17&quot;, &quot;r15&quot;, …
## $ headline_order38      &lt;chr&gt; &quot;r7&quot;, &quot;f11&quot;, &quot;f8&quot;, &quot;r2&quot;, &quot;r19&quot;, &quot;r15&quot;, &quot;f18&quot;, &quot;r…
## $ headline_order39      &lt;chr&gt; &quot;f16&quot;, &quot;r17&quot;, &quot;r6&quot;, &quot;f18&quot;, &quot;r20&quot;, &quot;f20&quot;, &quot;f1&quot;, &quot;…
## $ headline_order40      &lt;chr&gt; &quot;f13&quot;, &quot;r20&quot;, &quot;f19&quot;, &quot;f9&quot;, &quot;r16&quot;, &quot;r9&quot;, &quot;f14&quot;, &quot;…
## $ headline_show_order1  &lt;chr&gt; &quot;f4&quot;, &quot;ff17&quot;, &quot;f9&quot;, &quot;ff19&quot;, &quot;f9&quot;, &quot;f3&quot;, &quot;ff11&quot;, …
## $ headline_show_order2  &lt;chr&gt; &quot;f12&quot;, &quot;f5&quot;, &quot;f14&quot;, &quot;f3&quot;, &quot;f18&quot;, &quot;f19&quot;, &quot;f3&quot;, &quot;f…
## $ headline_show_order3  &lt;chr&gt; &quot;f5&quot;, &quot;f12&quot;, &quot;f5&quot;, &quot;f6&quot;, &quot;f20&quot;, &quot;f9&quot;, &quot;f5&quot;, &quot;f7&quot;…
## $ headline_show_order4  &lt;chr&gt; &quot;f20&quot;, &quot;f14&quot;, &quot;f18&quot;, &quot;f8&quot;, &quot;f6&quot;, &quot;f14&quot;, &quot;f7&quot;, &quot;f…
## $ headline_show_order5  &lt;chr&gt; &quot;f13&quot;, &quot;f9&quot;, &quot;f6&quot;, &quot;f9&quot;, &quot;f12&quot;, &quot;f13&quot;, &quot;f19&quot;, &quot;f…
## $ headline_show_order6  &lt;chr&gt; &quot;f11&quot;, &quot;f3&quot;, &quot;f10&quot;, &quot;f15&quot;, &quot;f3&quot;, &quot;f20&quot;, &quot;f17&quot;, &quot;…
## $ headline_show_order7  &lt;chr&gt; &quot;f8&quot;, &quot;f11&quot;, &quot;f13&quot;, &quot;f17&quot;, &quot;f16&quot;, &quot;f16&quot;, &quot;f2&quot;, &quot;…
## $ headline_show_order8  &lt;chr&gt; &quot;f9&quot;, &quot;f13&quot;, &quot;f8&quot;, &quot;f18&quot;, &quot;f2&quot;, &quot;f2&quot;, &quot;f1&quot;, &quot;f12…
## $ headline_show_order9  &lt;chr&gt; &quot;f16&quot;, &quot;f2&quot;, &quot;f12&quot;, &quot;f20&quot;, &quot;f11&quot;, &quot;f18&quot;, &quot;f9&quot;, &quot;…
## $ headline_show_order10 &lt;chr&gt; &quot;f3&quot;, &quot;f18&quot;, &quot;f7&quot;, &quot;f10&quot;, &quot;f17&quot;, &quot;f11&quot;, &quot;f15&quot;, &quot;…
## $ headline_show_order11 &lt;chr&gt; &quot;r17&quot;, &quot;r8&quot;, &quot;r7&quot;, &quot;r20&quot;, &quot;r13&quot;, &quot;r6&quot;, &quot;r2&quot;, &quot;r8…
## $ headline_show_order12 &lt;chr&gt; &quot;r7&quot;, &quot;r14&quot;, &quot;r1&quot;, &quot;r17&quot;, &quot;r12&quot;, &quot;r19&quot;, &quot;r13&quot;, &quot;…
## $ headline_show_order13 &lt;chr&gt; &quot;r4&quot;, &quot;r18&quot;, &quot;r9&quot;, &quot;r9&quot;, &quot;r18&quot;, &quot;r2&quot;, &quot;r18&quot;, &quot;r9…
## $ headline_show_order14 &lt;chr&gt; &quot;r3&quot;, &quot;r7&quot;, &quot;r12&quot;, &quot;r14&quot;, &quot;r10&quot;, &quot;r7&quot;, &quot;r16&quot;, &quot;r…
## $ headline_show_order15 &lt;chr&gt; &quot;r10&quot;, &quot;r13&quot;, &quot;r15&quot;, &quot;r16&quot;, &quot;r16&quot;, &quot;r1&quot;, &quot;r9&quot;, &quot;…
## $ headline_show_order16 &lt;chr&gt; &quot;r2&quot;, &quot;r4&quot;, &quot;r11&quot;, &quot;r1&quot;, &quot;r7&quot;, &quot;r14&quot;, &quot;r14&quot;, &quot;r1…
## $ headline_show_order17 &lt;chr&gt; &quot;r15&quot;, &quot;r12&quot;, &quot;r4&quot;, &quot;r3&quot;, &quot;r5&quot;, &quot;r18&quot;, &quot;r12&quot;, &quot;r…
## $ headline_show_order18 &lt;chr&gt; &quot;r11&quot;, &quot;r16&quot;, &quot;r8&quot;, &quot;r2&quot;, &quot;r4&quot;, &quot;r3&quot;, &quot;r17&quot;, &quot;r6…
## $ headline_show_order19 &lt;chr&gt; &quot;r1&quot;, &quot;r9&quot;, &quot;r20&quot;, &quot;r8&quot;, &quot;r8&quot;, &quot;r9&quot;, &quot;r5&quot;, &quot;r13&quot;…
## $ headline_show_order20 &lt;chr&gt; &quot;r6&quot;, &quot;r10&quot;, &quot;r19&quot;, &quot;r10&quot;, &quot;r2&quot;, &quot;r20&quot;, &quot;r10&quot;, &quot;…
## $ sharing_1             &lt;dbl+lbl&gt; NA, NA, NA, NA, NA, NA,  1, NA, NA,  1, NA, …
## $ sharing_2             &lt;dbl+lbl&gt; NA,  1, NA, NA,  1,  1,  1,  4, NA,  1,  1, …
## $ sharing_3             &lt;dbl+lbl&gt;  1,  1, NA,  1,  1,  1,  1, NA, NA, NA, NA, …
## $ sharing_4             &lt;dbl+lbl&gt;  1, NA, NA, NA, NA, NA, NA, NA, NA, NA,  1, …
## $ sharing_5             &lt;dbl+lbl&gt;  1,  1,  1, NA, NA, NA,  1,  3,  1, NA, NA, …
## $ sharing_6             &lt;dbl+lbl&gt; NA, NA,  3,  1,  1, NA, NA,  3,  3,  1,  1, …
## $ sharing_7             &lt;dbl+lbl&gt; NA, NA,  1, NA, NA, NA,  1,  4, NA,  1, NA, …
## $ sharing_8             &lt;dbl+lbl&gt;  1, NA,  1,  1, NA, NA, NA, NA, NA,  1, NA, …
## $ sharing_9             &lt;dbl+lbl&gt;  1,  1,  1,  1,  1,  1,  1,  4, NA, NA,  1, …
## $ sharing_10            &lt;dbl+lbl&gt; NA, NA,  1,  1, NA, NA, NA, NA,  1,  1, NA, …
## $ sharing_11            &lt;dbl+lbl&gt;  1,  1, NA, NA,  1,  1,  1,  4,  1, NA, NA, …
## $ sharing_12            &lt;dbl+lbl&gt;  1,  1,  1, NA,  1, NA, NA,  4, NA,  1,  1, …
## $ sharing_13            &lt;dbl+lbl&gt;  1,  1,  1, NA, NA,  1, NA, NA, NA, NA, NA, …
## $ sharing_14            &lt;dbl+lbl&gt; NA,  1,  1, NA, NA,  1, NA, NA,  1, NA,  1, …
## $ sharing_15            &lt;dbl+lbl&gt; NA, NA, NA,  1, NA, NA,  1, NA,  1,  1,  1, …
## $ sharing_16            &lt;dbl+lbl&gt;  1, NA, NA, NA,  1,  1, NA, NA,  2,  1, NA, …
## $ sharing_17            &lt;dbl+lbl&gt; NA,  1, NA,  1,  1, NA,  1,  4, NA,  1,  1, …
## $ sharing_18            &lt;dbl+lbl&gt; NA,  1,  3,  1,  1,  1, NA,  4,  3, NA, NA, …
## $ sharing_19            &lt;dbl+lbl&gt; NA, NA, NA,  1, NA,  1,  1, NA,  2, NA,  1, …
## $ sharing_20            &lt;dbl+lbl&gt;  1, NA, NA,  1,  1,  1, NA,  4,  2, NA,  1, …
## $ sharing_21            &lt;dbl+lbl&gt;  1, NA,  4,  2, NA,  5, NA, NA,  5, NA,  3, …
## $ sharing_22            &lt;dbl+lbl&gt;  1, NA, NA,  1,  1,  1,  1,  4, NA, NA, NA, …
## $ sharing_23            &lt;dbl+lbl&gt;  1, NA, NA,  3, NA,  1, NA, NA,  2,  3, NA, …
## $ sharing_24            &lt;dbl+lbl&gt;  1,  2,  3, NA,  1, NA, NA,  4,  2, NA,  2, …
## $ sharing_25            &lt;dbl+lbl&gt; NA, NA, NA, NA,  1, NA,  1, NA, NA, NA, NA, …
## $ sharing_26            &lt;dbl+lbl&gt;  1, NA, NA, NA, NA,  3, NA,  4, NA,  1,  2, …
## $ sharing_27            &lt;dbl+lbl&gt;  1,  2,  3, NA,  1,  3, NA, NA,  3,  1, NA, …
## $ sharing_28            &lt;dbl+lbl&gt; NA,  1,  3,  3,  1, NA, NA,  4,  2,  1, NA, …
## $ sharing_29            &lt;dbl+lbl&gt; NA,  2,  2,  5, NA,  1,  1,  4, NA, NA,  1, …
## $ sharing_30            &lt;dbl+lbl&gt;  1,  2, NA,  3,  1, NA,  1, NA, NA,  1, NA, …
## $ sharing_31            &lt;dbl+lbl&gt;  1, NA,  3, NA, NA, NA, NA,  2,  4,  2,  2, …
## $ sharing_32            &lt;dbl+lbl&gt; NA,  3,  2, NA,  1, NA,  1, NA, NA,  2,  3, …
## $ sharing_33            &lt;dbl+lbl&gt; NA,  1, NA, NA,  1, NA,  1,  3, NA,  1, NA, …
## $ sharing_34            &lt;dbl+lbl&gt; NA,  2, NA,  2, NA,  6,  1,  4,  4,  1,  2, …
## $ sharing_35            &lt;dbl+lbl&gt;  1, NA,  3, NA, NA, NA, NA,  3, NA, NA, NA, …
## $ sharing_36            &lt;dbl+lbl&gt; NA,  1, NA,  2,  1, NA,  1,  4,  2, NA, NA, …
## $ sharing_37            &lt;dbl+lbl&gt;  1, NA, NA,  1, NA, NA,  1, NA, NA, NA,  2, …
## $ sharing_38            &lt;dbl+lbl&gt; NA,  2, NA, NA,  1,  3,  1, NA, NA, NA, NA, …
## $ sharing_39            &lt;dbl+lbl&gt; NA, NA,  3, NA, NA,  6, NA, NA,  2,  5,  2, …
## $ sharing_40            &lt;dbl+lbl&gt; NA, NA,  4,  3, NA,  1, NA, NA,  3, NA,  3, …
## $ attention1_1          &lt;dbl+lbl&gt;  0,  1, NA, NA,  1, NA, NA,  0, NA,  1,  1, …
## $ attention1_2          &lt;dbl+lbl&gt;  1,  0, NA, NA,  0, NA, NA,  0, NA,  0,  0, …
## $ attention1_3          &lt;dbl+lbl&gt;  0,  1, NA, NA,  1, NA, NA,  0, NA,  1,  1, …
## $ attention1_4          &lt;dbl+lbl&gt;  1,  1, NA, NA,  1, NA, NA,  0, NA,  1,  1, …
## $ attention1_5          &lt;dbl+lbl&gt;  1,  0, NA, NA,  0, NA, NA,  0, NA,  0,  0, …
## $ attention1_6          &lt;dbl+lbl&gt;  0,  0, NA, NA,  0, NA, NA,  0, NA,  0,  0, …
## $ attention1_7          &lt;dbl+lbl&gt;  0,  0, NA, NA,  0, NA, NA,  0, NA,  0,  0, …
## $ attention1_8          &lt;dbl+lbl&gt;  0,  0, NA, NA,  0, NA, NA,  1, NA,  0,  0, …
## $ attention2            &lt;dbl+lbl&gt; 2, 2, 1, 1, 2, 1, 1, 2, 1, 3, 2, 1, 1, 1, 1,…
## $ gender                &lt;dbl+lbl&gt; 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1,…
## $ profile_age1          &lt;dbl+lbl&gt; 1, 3, 2, 3, 1, 4, 1, 3, 1, 1, 3, 4, 1, 2, 2,…
## $ profile_age2          &lt;dbl+lbl&gt;  1, 10,  7,  8,  1, 11,  1, 10,  3,  3,  8, …
## $ region                &lt;dbl+lbl&gt; 4, 3, 4, 2, 1, 3, 4, 4, 3, 3, 1, 3, 5, 4, 3,…
## $ profile_education     &lt;dbl+lbl&gt; 2, 4, 7, 6, 3, 6, 1, 6, 4, 7, 4, 4, 7, 7, 6,…
## $ profile_education_rc  &lt;dbl+lbl&gt; 1, 1, 3, 2, 1, 2, 1, 2, 1, 3, 1, 1, 3, 3, 2,…
## $ personal_income       &lt;dbl+lbl&gt; 13,  3, 12,  6,  1,  6, 13, 12,  2,  4,  4, …
## $ household_income      &lt;dbl+lbl&gt; 13,  6, 12,  6, 13,  6, 13, 12,  4,  9,  7, …
## $ ft_next               &lt;dbl+lbl&gt;  9,  1, 15, 17,  3,  3, 15,  4,  8, 15,  4, …
## $ ft19                  &lt;dbl+lbl&gt; 12,  4, 14, 17,  3,  3, 12,  4,  8,  8,  4, …
## $ eu15_trust            &lt;dbl+lbl&gt; 2, 3, 3, 3, 2, 2, 2, 3, 3, 2, 2, 2, 2, 2, 3,…
## $ tot_time              &lt;dbl&gt; 411.875, 308.389, 332.713, 257.773, 171.102, 397…
## $ endtime               &lt;chr&gt; &quot;2021-12-17 16:56:39&quot;, &quot;2021-12-17 16:57:35&quot;, &quot;2…
## $ duration              &lt;dbl&gt; 8.566667, 6.383333, 7.300000, 6.833333, 4.266667…
## $ weight                &lt;dbl&gt; 1.1960340, 0.8995859, 0.8381293, 0.8688886, 1.51…</code></pre>
<pre class="r"><code>df$wave &lt;- 3
names(df)[121:160] &lt;-gsub(&quot;\\_&quot;,&quot;&quot;,names(df)[121:160]) # Remove underscore from sharing_n

df_raw &lt;- df


#Reshape from wide to long using sharing
df &lt;- df_raw %&gt;%
  pivot_longer(col = c(sharing1:sharing40),
               names_to = &quot;headline&quot;,
               names_prefix = &quot;sharing&quot;,
               values_to = &quot;sharing_all&quot;,
               values_drop_na = FALSE) %&gt;%
  dplyr::select(resid, sharing_all, headline, treatment, m_m_headline_rnd, m_m_headline_rnd_1, -fake_list_to_show_1:-real_list_to_show_20, everything() )

df$headline &lt;- as.numeric(df$headline)

df &lt;- df %&gt;%  # Create dichotomous &quot;real&quot; variable
  mutate(real =
           case_when(
             headline &lt;= 20 ~ 0,
             headline &gt; 20 ~ 1))

df$treatment &lt;- factor(df$treatment,
                       levels=c(1,2,3,4),
                       labels=c(&quot;Control&quot;,
                                &quot;Nudge&quot;,
                                &quot;Short&quot;,
                                &quot;Long&quot;))

df$real &lt;- factor(df$real,
                  levels=c(0,1),
                  labels =c(&quot;fake&quot;,
                            &quot;real&quot;))
# Create a sharing_fake DV
df &lt;- df %&gt;% 
  mutate(sharing_fake = case_when(
    real == &quot;fake&quot; &amp; sharing_all == 1 ~ 1,
    real == &quot;fake&quot; &amp; sharing_all == 2 ~ 2,
    real == &quot;fake&quot; &amp; sharing_all == 3 ~ 3,
    real == &quot;fake&quot; &amp; sharing_all == 4 ~ 4,
    real == &quot;fake&quot; &amp; sharing_all == 5 ~ 5,
    real == &quot;fake&quot; &amp; sharing_all == 6 ~ 6))

# Create a sharing_real DV
df &lt;- df %&gt;% 
  mutate(sharing_real = case_when(
    real == &quot;real&quot; &amp; sharing_all == 1 ~ 1,
    real == &quot;real&quot; &amp; sharing_all == 2 ~ 2,
    real == &quot;real&quot; &amp; sharing_all == 3 ~ 3,
    real == &quot;real&quot; &amp; sharing_all == 4 ~ 4,
    real == &quot;real&quot; &amp; sharing_all == 5 ~ 5,
    real == &quot;real&quot; &amp; sharing_all == 6 ~ 6))

# Rescale headline from 1-4 to 0-1
df$sharing_all &lt;- rescale(as.numeric(df$sharing_all))
df$sharing_fake &lt;- rescale(as.numeric(df$sharing_fake))
df$sharing_real &lt;- rescale(as.numeric(df$sharing_real))

df %&gt;% 
  group_by(real) %&gt;% 
  summarise(mean = mean(sharing_all, na.rm = T))</code></pre>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["real"],"name":[1],"type":["fct"],"align":["left"]},{"label":["mean"],"name":[2],"type":["dbl"],"align":["right"]}],"data":[{"1":"fake","2":"0.1259145"},{"1":"real","2":"0.2591948"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
  </script>
</div>
<pre class="r"><code># Protection motivation theory
df &lt;- df %&gt;%
  mutate(
    threat = (bat_pmt_1 + bat_pmt_2) / 2,
    selfeff = (bat_pmt_3 + bat_pmt_4) / 2,
    respeff = (bat_pmt_5 + bat_pmt_6) / 2
  )

# Rescale to 0-1
df$threat &lt;- rescale(df$threat)
df$selfeff &lt;- rescale(df$selfeff)
df$respeff &lt;- rescale(df$respeff)
df$bat_pmt_1 &lt;- rescale(as.numeric(df$bat_pmt_1))
df$bat_pmt_2 &lt;- rescale(as.numeric(df$bat_pmt_2))
df$bat_pmt_3 &lt;- rescale(as.numeric(df$bat_pmt_3))
df$bat_pmt_4 &lt;- rescale(as.numeric(df$bat_pmt_4))
df$bat_pmt_5 &lt;- rescale(as.numeric(df$bat_pmt_5))
df$bat_pmt_6 &lt;- rescale(as.numeric(df$bat_pmt_6))


# BACKGROUND VARIABLES ----------------------------------------
##### gender -----------------------------------------------------
names(df)[names(df) == &quot;gender&quot;] &lt;- &quot;female&quot;
df$female[df$female== 2 ] &lt;- 0
val_labels(df$female) &lt;- c(&quot;male&quot; = 0, &quot;female&quot; = 1)
var_label(df$female) &lt;- &quot;Gender&quot;

# profile_age1 -----------------------------------------------------
df$age4 &lt;- factor(df$profile_age1, # country
                  levels=c(1,2,3,4),
                  labels=c(&quot;18-34&quot;,
                           &quot;35-54&quot;,
                           &quot;55-69&quot;,
                           &quot;70+&quot;))
var_label(df$age4) &lt;- &quot;Age: 4 categories&quot;

# profile_age2 -----------------------------------------------------
names(df)[names(df) == &quot;profile_age2&quot;] &lt;- &quot;age14&quot;
val_labels(df$age14) &lt;- c(&quot;18-22&quot; = 1,
                         &quot;23-27&quot; = 2,
                         &quot;28-32&quot; = 3,
                         &quot;33-37&quot; = 4,
                         &quot;38-42&quot; = 5,
                         &quot;43-47&quot; = 6,
                         &quot;48-52&quot; = 7,
                         &quot;53-57&quot; = 8,
                         &quot;58-62&quot; = 9,
                         &quot;63-67&quot; = 10,
                         &quot;68-72&quot; = 11,
                         &quot;73-77&quot; = 12,
                         &quot;78-82&quot; = 13,
                         &quot;83-89&quot; = 14)
var_label(df$age14) &lt;- &quot;Age: 14 categories in five year intervals&quot;

# profile_education -----------------------------------------------------
names(df)[names(df) == &quot;profile_education_rc&quot;] &lt;- &quot;educ3&quot;
# ft_next -----------------------------------------------------
names(df)[names(df) == &quot;ft_next&quot;] &lt;- &quot;vote_next&quot;
var_label(df$vote_next) &lt;- &quot;Who would you vote for in the next parliamentary election?&quot;
df &lt;- df %&gt;% 
  mutate(vote_next2 = 
           case_when(
             vote_next == 1 ~ 0,
             vote_next == 2 ~ 0,
             vote_next == 3 ~ 1,
             vote_next == 4 ~ 0,
             vote_next == 5 ~ 1,
             vote_next == 6 ~ 1,
             vote_next == 7 ~ 1,
             vote_next == 8 ~ 1,
             vote_next == 9 ~ 0,
             vote_next == 16 ~ 0, 
             vote_next == 17 ~ 1,
             vote_next == 18 ~ 1,
             vote_next == 19 ~ 1,
             vote_next == 20 ~ 0,
             vote_next == 21 ~ 1,
             vote_next == 22 ~ 0))

val_labels(df$vote_next2) &lt;- c(&quot;Left-wing&quot; = 0,
                     &quot;Right-wing&quot; = 1)
# ft19 -----------------------------------------------------
names(df)</code></pre>
<pre><code>##   [1] &quot;resid&quot;                 &quot;sharing_all&quot;           &quot;headline&quot;             
##   [4] &quot;treatment&quot;             &quot;m_m_headline_rnd&quot;      &quot;m_m_headline_rnd_1&quot;   
##   [7] &quot;split_non_covid&quot;       &quot;q1&quot;                    &quot;v1&quot;                   
##  [10] &quot;v2&quot;                    &quot;tech_cond3&quot;            &quot;tech_cond4&quot;           
##  [13] &quot;bat_pmt_1&quot;             &quot;bat_pmt_2&quot;             &quot;bat_pmt_3&quot;            
##  [16] &quot;bat_pmt_4&quot;             &quot;bat_pmt_5&quot;             &quot;bat_pmt_6&quot;            
##  [19] &quot;fake_list&quot;             &quot;selected_fake_list&quot;    &quot;fake_list_to_show_1&quot;  
##  [22] &quot;fake_list_to_show_2&quot;   &quot;fake_list_to_show_3&quot;   &quot;fake_list_to_show_4&quot;  
##  [25] &quot;fake_list_to_show_5&quot;   &quot;fake_list_to_show_6&quot;   &quot;fake_list_to_show_7&quot;  
##  [28] &quot;fake_list_to_show_8&quot;   &quot;fake_list_to_show_9&quot;   &quot;fake_list_to_show_10&quot; 
##  [31] &quot;fake_list_to_show_11&quot;  &quot;fake_list_to_show_12&quot;  &quot;fake_list_to_show_13&quot; 
##  [34] &quot;fake_list_to_show_14&quot;  &quot;fake_list_to_show_15&quot;  &quot;fake_list_to_show_16&quot; 
##  [37] &quot;fake_list_to_show_17&quot;  &quot;fake_list_to_show_18&quot;  &quot;fake_list_to_show_19&quot; 
##  [40] &quot;fake_list_to_show_20&quot;  &quot;real_list&quot;             &quot;selected_real_list&quot;   
##  [43] &quot;real_list_to_show_1&quot;   &quot;real_list_to_show_2&quot;   &quot;real_list_to_show_3&quot;  
##  [46] &quot;real_list_to_show_4&quot;   &quot;real_list_to_show_5&quot;   &quot;real_list_to_show_6&quot;  
##  [49] &quot;real_list_to_show_7&quot;   &quot;real_list_to_show_8&quot;   &quot;real_list_to_show_9&quot;  
##  [52] &quot;real_list_to_show_10&quot;  &quot;real_list_to_show_11&quot;  &quot;real_list_to_show_12&quot; 
##  [55] &quot;real_list_to_show_13&quot;  &quot;real_list_to_show_14&quot;  &quot;real_list_to_show_15&quot; 
##  [58] &quot;real_list_to_show_16&quot;  &quot;real_list_to_show_17&quot;  &quot;real_list_to_show_18&quot; 
##  [61] &quot;real_list_to_show_19&quot;  &quot;real_list_to_show_20&quot;  &quot;headline_order1&quot;      
##  [64] &quot;headline_order2&quot;       &quot;headline_order3&quot;       &quot;headline_order4&quot;      
##  [67] &quot;headline_order5&quot;       &quot;headline_order6&quot;       &quot;headline_order7&quot;      
##  [70] &quot;headline_order8&quot;       &quot;headline_order9&quot;       &quot;headline_order10&quot;     
##  [73] &quot;headline_order11&quot;      &quot;headline_order12&quot;      &quot;headline_order13&quot;     
##  [76] &quot;headline_order14&quot;      &quot;headline_order15&quot;      &quot;headline_order16&quot;     
##  [79] &quot;headline_order17&quot;      &quot;headline_order18&quot;      &quot;headline_order19&quot;     
##  [82] &quot;headline_order20&quot;      &quot;headline_order21&quot;      &quot;headline_order22&quot;     
##  [85] &quot;headline_order23&quot;      &quot;headline_order24&quot;      &quot;headline_order25&quot;     
##  [88] &quot;headline_order26&quot;      &quot;headline_order27&quot;      &quot;headline_order28&quot;     
##  [91] &quot;headline_order29&quot;      &quot;headline_order30&quot;      &quot;headline_order31&quot;     
##  [94] &quot;headline_order32&quot;      &quot;headline_order33&quot;      &quot;headline_order34&quot;     
##  [97] &quot;headline_order35&quot;      &quot;headline_order36&quot;      &quot;headline_order37&quot;     
## [100] &quot;headline_order38&quot;      &quot;headline_order39&quot;      &quot;headline_order40&quot;     
## [103] &quot;headline_show_order1&quot;  &quot;headline_show_order2&quot;  &quot;headline_show_order3&quot; 
## [106] &quot;headline_show_order4&quot;  &quot;headline_show_order5&quot;  &quot;headline_show_order6&quot; 
## [109] &quot;headline_show_order7&quot;  &quot;headline_show_order8&quot;  &quot;headline_show_order9&quot; 
## [112] &quot;headline_show_order10&quot; &quot;headline_show_order11&quot; &quot;headline_show_order12&quot;
## [115] &quot;headline_show_order13&quot; &quot;headline_show_order14&quot; &quot;headline_show_order15&quot;
## [118] &quot;headline_show_order16&quot; &quot;headline_show_order17&quot; &quot;headline_show_order18&quot;
## [121] &quot;headline_show_order19&quot; &quot;headline_show_order20&quot; &quot;attention1_1&quot;         
## [124] &quot;attention1_2&quot;          &quot;attention1_3&quot;          &quot;attention1_4&quot;         
## [127] &quot;attention1_5&quot;          &quot;attention1_6&quot;          &quot;attention1_7&quot;         
## [130] &quot;attention1_8&quot;          &quot;attention2&quot;            &quot;female&quot;               
## [133] &quot;profile_age1&quot;          &quot;age14&quot;                 &quot;region&quot;               
## [136] &quot;profile_education&quot;     &quot;educ3&quot;                 &quot;personal_income&quot;      
## [139] &quot;household_income&quot;      &quot;vote_next&quot;             &quot;ft19&quot;                 
## [142] &quot;eu15_trust&quot;            &quot;tot_time&quot;              &quot;endtime&quot;              
## [145] &quot;duration&quot;              &quot;weight&quot;                &quot;wave&quot;                 
## [148] &quot;real&quot;                  &quot;sharing_fake&quot;          &quot;sharing_real&quot;         
## [151] &quot;threat&quot;                &quot;selfeff&quot;               &quot;respeff&quot;              
## [154] &quot;age4&quot;                  &quot;vote_next2&quot;</code></pre>
<pre class="r"><code># Income
names(df)[names(df) == &quot;household_income&quot;] &lt;- &quot;income_hh&quot;
df$income_hh[df$income_hh== 12 ] &lt;- NA
df$income_hh[df$income_hh== 13 ] &lt;- NA




 wave3 &lt;- df
#### SAVE DATA WAVE 2----wave3 &lt;- df
save(wave3, file = here::here( &quot;wave3_data.Rdata&quot;)) # save(dataobjectname, file = here::here(&quot;foldername&quot;, &quot;namefile&quot;))</code></pre>
<div id="wave-3-power" class="section level3">
<h3>Wave 3 power</h3>
<pre class="r"><code>pwr.t.test(n=500, power=0.8, sig.level=.05, alternative=&quot;greater&quot;) # Power analysis</code></pre>
<pre><code>## 
##      Two-sample t test power calculation 
## 
##               n = 500
##               d = 0.1573646
##       sig.level = 0.05
##           power = 0.8
##     alternative = greater
## 
## NOTE: n is number in *each* group</code></pre>
<pre class="r"><code>pwr.t.test(n=500, power=0.9, sig.level=.05, alternative=&quot;greater&quot;) # Power analysis</code></pre>
<pre><code>## 
##      Two-sample t test power calculation 
## 
##               n = 500
##               d = 0.1852089
##       sig.level = 0.05
##           power = 0.9
##     alternative = greater
## 
## NOTE: n is number in *each* group</code></pre>
</div>
</div>
<div id="merge-wave-12" class="section level2">
<h2>Merge wave 1+2</h2>
<pre class="r"><code>load(here::here(&quot;wave1_data.Rdata&quot;)) # Load wave 1
load(here::here(&quot;wave2_data.Rdata&quot;)) # Load wave 2

df &lt;- merge(wave2, wave1, by = &quot;resid&quot;) 


df &lt;- df[!is.na(df$resid2), ] %&gt;%
  select(
    -starts_with(&quot;fake_list&quot;),
    -starts_with(&quot;real_list&quot;),
    -starts_with(&quot;headline_order&quot;),
    -starts_with(&quot;headline_show&quot;),
    -starts_with(&quot;page&quot;))
    

save(df, file = here::here( &quot;final_data.Rdata&quot;))</code></pre>
<div id="attrition" class="section level3">
<h3>Attrition</h3>
<pre class="r"><code>load(here::here(&quot;wave1_data.Rdata&quot;)) # Load wave 1
load(here::here(&quot;wave2_data.Rdata&quot;)) # Load wave 2

d = merge(wave2, wave1, by = &quot;resid&quot;)

df = d %&gt;%
  pivot_wider(
    id_cols = c(
      resid,
      treatment,
      resid2,
      tot_time.x
    ),
     names_from = headline,
     values_from = sharing_all
  ) 

# ATTRITION
# Count number of distinct respondents in the waves
wave1 %&gt;% distinct(resid) %&gt;% count()</code></pre>
<div data-pagedtable="false">
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  </script>
</div>
<pre class="r"><code>wave2 %&gt;% distinct(resid) %&gt;% count()</code></pre>
<div data-pagedtable="false">
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<pre class="r"><code># Count any post-treatment attrition
d %&gt;%
  group_by(resid) %&gt;%
  summarise(
    na_count = sum(is.na(sharing_all))
  ) %&gt;% ungroup() %&gt;% pull(na_count) %&gt;%  table()</code></pre>
<pre><code>## .
##   10 
## 2232</code></pre>
<pre class="r"><code>df %&gt;% select(-tot_time.x, ) %&gt;% 
    drop_na() %&gt;% count()</code></pre>
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</div>
</div>
</div>
</div>
<div id="main-text" class="section level1">
<h1>Main text</h1>
<div id="study-1." class="section level2 tabset">
<h2 class="tabset">Study 1.</h2>
<div id="figure-1-sharing-fakereal---treatment" class="section level3">
<h3>Figure 1: Sharing fake/real &lt;- Treatment</h3>
<pre class="r"><code>#install.packages(&quot;pacman&quot;)
pacman::p_load(tidyverse,
               here,
               glue,
               broom,
               purrr,
               modelsummary,
               ggplot2,
               rstatix,
               kableExtra)

load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(formula = as.formula(.x),
                             data = df))) 

# Create temporary frame with cluster robust std errors
m_temp = m0 %&gt;%
  pull(model) %&gt;% 
  modelsummary(output = &quot;modelsummary_list&quot;,
               vcov =  ~ resid + headline,
               statistic = &quot;conf.int&quot;)

# Create empty object
m_long = list(NULL)


# tidy each regression and bind them together
for (i in 1:2){
  m_temp[[i]] = m_temp[[i]] %&gt;% tidy() %&gt;%
    mutate(model = factor(ifelse(i == 1, &quot;False headlines&quot;,
                          ifelse(i == 2, &quot;Real headlines&quot;,
                                 NA))))
  m_long = rbind(m_long, m_temp[[i]])
}

########################################## 
# Sharing discernment
# calculate mean sharing discernment and collapse by respondent
df_disc &lt;- df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T)) %&gt;% ungroup() </code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m_wide &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(formula = as.formula(.x),
                             data = df_disc))) %&gt;%
  pull(model) %&gt;% 
  modelsummary(output = &quot;modelsummary_list&quot;,
               vcov =  ~ resid,
               statistic = &quot;conf.int&quot;) %&gt;% 
  tidy() %&gt;% 
  mutate(model = factor(&quot;Sharing Discernment&quot;))
  

# combine models
m &lt;- rbind(m_long, m_wide) %&gt;% 
  mutate_if(is.numeric, ~round(., 3)) %&gt;% 
  filter(term == &quot;treatmentNudge&quot; |
           term == &quot;treatmentShort&quot; |
           term == &quot;treatmentLong&quot;) %&gt;% 
  mutate(
  term = factor(
    term,
    levels = c(&quot;treatmentLong&quot;,
               &quot;treatmentShort&quot;,
               &quot;treatmentNudge&quot;),
    labels = c(&quot;3 min video&quot;,
               &quot;15 sec video&quot;,
               &quot;Accuracy nudge&quot;)
  )) %&gt;% 
   mutate_if(is.numeric, ~round(., 3))

m %&gt;% 
  select(term, model, p.value )</code></pre>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["term"],"name":[1],"type":["fct"],"align":["left"]},{"label":["model"],"name":[2],"type":["fct"],"align":["left"]},{"label":["p.value"],"name":[3],"type":["dbl"],"align":["right"]}],"data":[{"1":"Accuracy nudge","2":"False headlines","3":"0.179"},{"1":"15 sec video","2":"False headlines","3":"0.869"},{"1":"3 min video","2":"False headlines","3":"0.000"},{"1":"Accuracy nudge","2":"Real headlines","3":"0.064"},{"1":"15 sec video","2":"Real headlines","3":"0.075"},{"1":"3 min video","2":"Real headlines","3":"0.065"},{"1":"Accuracy nudge","2":"Sharing Discernment","3":"0.000"},{"1":"15 sec video","2":"Sharing Discernment","3":"0.016"},{"1":"3 min video","2":"Sharing Discernment","3":"0.000"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
  </script>
</div>
<pre class="r"><code># Create plot
p = m %&gt;%
  ggplot(aes(x = estimate,
             y = term)) +
  geom_vline(xintercept = 0) +
  geom_point() +
  geom_errorbarh(
    aes(xmin = conf.low, xmax = conf.high),
    height = 0) +
  scale_x_continuous(
    limits = c(-.11, .11),
    labels = dropLeadingZero)+
  facet_wrap( ~ model, ncol = 3L) +
  xlab(&quot;&quot;) +
  ylab(&quot;&quot;)

p</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>ggsave(
  here::here( &quot;0_study1_main.png&quot;),
  height = 2,
  width = 6)

pdf(here::here( &quot;0_study1_main.pdf&quot;),
    height = 2,
    width = 6)
print(p)
dev.off()</code></pre>
<pre><code>## quartz_off_screen 
##                 2</code></pre>
</div>
<div id="count-participants" class="section level3">
<h3>Count participants</h3>
</div>
<div id="effect-size" class="section level3">
<h3>Effect size</h3>
<pre class="r"><code># Calculate cohen&#39;s d
df %&gt;%
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  rstatix::cohens_d(sharing_fake ~ treatment, var.equal = TRUE)  %&gt;% 
  mutate_if(is.numeric, ~round(., 3)) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize,group1) </code></pre>
<pre><code>##   Long  Short  Nudge 
## -0.222 -0.008 -0.064</code></pre>
<pre class="r"><code>df %&gt;%
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  rstatix::cohens_d(sharing_real ~ treatment, var.equal = TRUE)  %&gt;% 
  mutate_if(is.numeric, ~round(., 3)) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
    pull(effsize,group1) </code></pre>
<pre><code>##  Long Short Nudge 
## 0.089 0.081 0.084</code></pre>
<pre class="r"><code># Note here I call the other data frame from sharing discernment
df_disc %&gt;% 
  ungroup() %&gt;% 
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  cohens_d(sharing_disc ~ treatment, var.equal = TRUE) %&gt;%  
  mutate_if(is.numeric, ~round(., 3)) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize,group1)</code></pre>
<pre><code>##  Long Short Nudge 
## 0.416 0.145 0.230</code></pre>
<pre class="r"><code># Alternative way
df1 = df %&gt;%
  mutate(Treatment = factor(case_when(
    treatment == &quot;Long&quot; ~ &quot;Long&quot;,
    treatment == &quot;Control&quot; ~ &quot;Control&quot;))) %&gt;% 
  select(Treatment, sharing_fake) 

# T-test
t.test(sharing_fake ~ Treatment, data = df1)</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  sharing_fake by Treatment
## t = 14.393, df = 16288, p-value &lt; 0.00000000000000022
## alternative hypothesis: true difference in means between group Control and group Long is not equal to 0
## 95 percent confidence interval:
##  0.04717496 0.06204927
## sample estimates:
## mean in group Control    mean in group Long 
##             0.1560188             0.1014067</code></pre>
</div>
</div>
<div id="study-2" class="section level2 tabset">
<h2 class="tabset">Study 2</h2>
<div id="figure-2-pmt---treatment" class="section level3">
<h3>Figure 2: PMT &lt;- Treatment</h3>
<p><strong>Conclusion</strong>: The long intervention increases
self-efficacy</p>
<pre class="r"><code>load(here::here(&quot;wave3_data.Rdata&quot;)) # Load wave 3

# Widen data: Each participant only answers once
df = wave3 %&gt;%
  pivot_wider(
    id_cols = c(
      resid,
      threat,
      selfeff,
      respeff,
      treatment,
      bat_pmt_1,
      bat_pmt_2,
      bat_pmt_3,
      bat_pmt_4,
      bat_pmt_5,
      bat_pmt_6
    ),
     names_from = headline,
     values_from = sharing_all
  ) 


# Define vars
dvs &lt;- c(&quot;threat&quot;, # Define you dependent variables
             &quot;selfeff&quot;,
            &quot;respeff&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(
    formula = as.formula(.x),
    data = df
  ))) 

# Get output
m = modelsummary(dvnames(m0$model),
               output = &quot;modelsummary_list&quot;,
               statistic = &quot;conf.int&quot;,
               vcov =  ~ resid) %&gt;% 
  map(tidy) %&gt;%
  map_dfr(bind_rows, .id = &quot;outcome&quot;) %&gt;% 
  mutate_if(is.numeric, round, 3) %&gt;% 
  filter(term == &quot;treatmentNudge&quot; |
           term == &quot;treatmentShort&quot; |
           term == &quot;treatmentLong&quot;) %&gt;%
  mutate(
    term = factor(
      term,
      levels = c(&quot;treatmentLong&quot;,
                 &quot;treatmentShort&quot;,
                 &quot;treatmentNudge&quot;),
      labels = c(&quot;3 min video&quot;,
                 &quot;15 sec video&quot;,
                 &quot;Accuracy nudge&quot;)
    ),
    outcome = factor(outcome,
                     levels = c(
                       &quot;threat&quot;,
                       &quot;selfeff&quot;,
                       &quot;respeff&quot;),
      labels = c(&quot;Threat appraisal&quot;,
                 &quot;Self efficacy&quot;,
                 &quot;Response efficacy&quot;)
    )  )


# plot
p &lt;- ggplot(data = m, aes(x = estimate,
                         y = term,
                         group = outcome))+
  geom_point() +
  geom_errorbarh(
    aes(xmin = conf.low, xmax = conf.high),
    height = 0) +
    scale_x_continuous(
    limits = c(-.1, .1),
    labels = dropLeadingZero)+
  facet_wrap(~ outcome, ncol = 4L) +
  geom_vline(xintercept = 0) +
  xlab(&quot;&quot;) +
  ylab(&quot;&quot;)

pdf(here::here( &quot;0_study2_main.pdf&quot;), height = 2, width = 6)
 print(p)
 dev.off()</code></pre>
<pre><code>## quartz_off_screen 
##                 2</code></pre>
<pre class="r"><code>p</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code> ggsave(
 here::here( &quot;0_study2_main.png&quot;), height = 2, width = 6)</code></pre>
<div id="count-participants-1" class="section level4">
<h4>Count participants</h4>
</div>
<div id="effect-size-1" class="section level4">
<h4>Effect size</h4>
<pre class="r"><code># Calculate cohen&#39;s d

# Threat appraisal
df %&gt;% 
  mutate(treatment = fct_rev(treatment)) %&gt;%
  cohens_d(threat ~ treatment, var.equal = TRUE) %&gt;%
  mutate_if(is.numeric, ~ round(., 3)) %&gt;%
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize, group1)</code></pre>
<pre><code>##   Long  Short  Nudge 
##  0.031 -0.078  0.039</code></pre>
<pre class="r"><code># Self-efficacy
df %&gt;% 
  mutate(treatment = fct_rev(treatment)) %&gt;%
  cohens_d(selfeff ~ treatment, var.equal = TRUE) %&gt;%
  mutate_if(is.numeric, ~ round(., 3)) %&gt;%
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize, group1)</code></pre>
<pre><code>##  Long Short Nudge 
## 0.274 0.039 0.037</code></pre>
<pre class="r"><code># Response efficacy
df %&gt;% 
  mutate(treatment = fct_rev(treatment)) %&gt;%
  cohens_d(respeff ~ treatment, var.equal = TRUE) %&gt;%
  mutate_if(is.numeric, ~ round(., 3)) %&gt;%
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize, group1)</code></pre>
<pre><code>##   Long  Short  Nudge 
##  0.104  0.066 -0.081</code></pre>
</div>
<div id="coefficients-pmt---treatment" class="section level4">
<h4>Coefficients: PMT &lt;- Treatment</h4>
<p>This is the coefficients for the treatment effect on PMT measures</p>
<pre class="r"><code># Get goefficients
m %&gt;% mutate(estimate = round(m$estimate, 2),
                 conf.low = round(m$conf.low, 2),
                 conf.high = round(m$conf.high, 2),
                 p.value = round(m$p.value, 2),
                 ) %&gt;% 
  select(term, estimate, conf.low, conf.high, p.value, outcome)</code></pre>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":["term"],"name":[1],"type":["fct"],"align":["left"]},{"label":["estimate"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["conf.low"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["conf.high"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["p.value"],"name":[5],"type":["dbl"],"align":["right"]},{"label":["outcome"],"name":[6],"type":["fct"],"align":["left"]}],"data":[{"1":"Accuracy nudge","2":"-0.02","3":"-0.05","4":"0.01","5":"0.19","6":"Response efficacy"},{"1":"15 sec video","2":"0.02","3":"-0.01","4":"0.04","5":"0.29","6":"Response efficacy"},{"1":"3 min video","2":"0.03","3":"0.00","4":"0.06","5":"0.10","6":"Response efficacy"},{"1":"Accuracy nudge","2":"0.01","3":"-0.02","4":"0.04","5":"0.56","6":"Self efficacy"},{"1":"15 sec video","2":"0.01","3":"-0.02","4":"0.04","5":"0.53","6":"Self efficacy"},{"1":"3 min video","2":"0.06","3":"0.03","4":"0.09","5":"0.00","6":"Self efficacy"},{"1":"Accuracy nudge","2":"0.01","3":"-0.02","4":"0.03","5":"0.53","6":"Threat appraisal"},{"1":"15 sec video","2":"-0.02","3":"-0.04","4":"0.01","5":"0.21","6":"Threat appraisal"},{"1":"3 min video","2":"0.01","3":"-0.02","4":"0.03","5":"0.63","6":"Threat appraisal"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
  </script>
</div>
</div>
</div>
</div>
</div>
<div id="appendix" class="section level1">
<h1>Appendix</h1>
<div id="load-packages-1" class="section level2">
<h2>Load packages</h2>
<pre class="r"><code># Load packages

# install.packages(&quot;pacman&quot;)
pacman::p_load(tidyverse,
               modelsummary,
               kableExtra,
               glue,
               estimatr,
               rstatix,
               marginaleffects,
               scales,
               fixest,
               sjPlot)</code></pre>
</div>
<div id="section-c-pretest-of-headlines" class="section level2">
<h2>Section C: Pretest of headlines</h2>
<pre class="r"><code>load(here::here(&quot;wave_pretest.Rdata&quot;)) # Load wave 3
df &lt;- wave_pretest


# SUMMARIZE
# Use group_by to designate the groups

# find mean for all headline
df &lt;- df %&gt;%
  group_by(headline) %&gt;%
  mutate(mean_rating = mean(rating),
         sd_rating = sd(rating),
         headline3 = factor(headline3, 
                     levels = c(&quot;fake&quot;, 
                                &quot;real&quot;, 
                                &quot;non&quot;),
                     labels = c(&quot;False&quot;,
                                &quot;Real&quot;,
                                &quot;Non-covid&quot;)))



p &lt;- ggplot(data=df, aes(x=headline_text, y=mean_rating, color = headline3)) +
  geom_point() +
  coord_flip()+
  guides(color=guide_legend(title=&quot;Headline veracity&quot;))+
  labs(y = &quot;Perceived accuracy&quot;,
       x = &quot;&quot;)+ theme(legend.position=&quot;bottom&quot;)

pdf(here::here( &quot;pretest.pdf&quot;), width = 12)
print(p)</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;99&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Norsk sundhedsansat er død efter blodprop efter vaccine.
## Det undersøges, om der er en sammenhæng mellem AstraZeneca …&#39; in &#39;mbcsToSbcs&#39;:
## dot substituted for &lt;a6&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Så mange danskere har taget på under coronakrisen: ”Det
## er et kæmpe eksperiment med vores sundhed”&#39; in &#39;mbcsToSbcs&#39;: dot substituted
## for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;Verdenssundhedsorganisationen (WHO) bekræfter ved et
## ”uheld”, at Covid-19 IKKE er mere farlig end influenza.&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;9d&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;The Lancet afslører bedrag: Covid-19 Vaccinernes
## effektivitet er på 1.2% IKKE 90–95%&#39; in &#39;mbcsToSbcs&#39;: dot substituted for &lt;93&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;e2&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
## vaccineingredienser skader børn over hele verden&#39; in &#39;mbcsToSbcs&#39;: dot
## substituted for &lt;80&gt;</code></pre>
<pre><code>## Warning in grid.Call.graphics(C_text, as.graphicsAnnot(x$label), x$x, x$y, :
## conversion failure on &#39;FN’s sundhedseksperter indrømmer, at giftige
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<pre class="r"><code>dev.off()</code></pre>
<pre><code>## quartz_off_screen 
##                 2</code></pre>
</div>
<div id="section-d-descriptive-statistics" class="section level2">
<h2>Section D: Descriptive statistics</h2>
<div id="study-1-descriptives-dep-var-across-conditions" class="section level3">
<h3>Study 1: Descriptives dep var across conditions</h3>
<pre class="r"><code># CALCULATE MEANS AND SD ACROSS VARIABLES IN EXPERIMENTAL CONDITIONS
# load study 1 data
load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

d = df %&gt;%
  group_by(resid, treatment) %&gt;%
  rename(Treatment = treatment) %&gt;% 
  summarise(`False Sharing` = mean(sharing_fake, na.rm = T),
            `Real Sharing` = mean(sharing_real, na.rm = T),
            `Sharing Discernment` = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T)) %&gt;% 
  ungroup() </code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code>datasummary(Treatment * (`False Sharing`+`Real Sharing`+`Sharing Discernment`) ~(Mean + SD + N)  ,
            data = d,
            title = &quot;Summary statistics for dependent variables in Study 1&quot;,
            notes = &quot;Sample size: 2232&quot;,
            output = here::here(  &quot;s1_dv_descriptives.tex&quot;)
            )</code></pre>
<pre><code>## Warning: To compile a LaTeX document with this table, the following commands must be placed in the document preamble:
## 
## \usepackage{booktabs}
## \usepackage{siunitx}
## \newcolumntype{d}{S[
##     input-open-uncertainty=,
##     input-close-uncertainty=,
##     parse-numbers = false,
##     table-align-text-pre=false,
##     table-align-text-post=false
##  ]}
## 
## To disable `siunitx` and prevent `modelsummary` from wrapping numeric entries in `\num{}`, call:
## 
## options(&quot;modelsummary_format_numeric_latex&quot; = &quot;plain&quot;)
##  This warning appears once per session.</code></pre>
</div>
<div id="study-2-descriptives-dep-var-across-conditions" class="section level3">
<h3>Study 2: Descriptives dep var across conditions</h3>
<pre class="r"><code># load study 2 data
load(here::here( &quot;wave3_data.Rdata&quot;)) # Load wave 

d = wave3 %&gt;%
  group_by(resid, treatment) %&gt;%
  rename(Treatment = treatment) %&gt;% 
  summarise(`Threat Appraisal` = mean(threat, na.rm = T),
            `Self Efficacy` = mean(selfeff, na.rm = T),
            `Response Efficacy` = mean(respeff, na.rm = T))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code>datasummary(Treatment * (`Threat Appraisal` + `Self Efficacy` + `Response Efficacy`) ~ (Mean + SD + N),
  data = d,
  title = &quot;Summary statistics for dependent variables in Study 2&quot;,
  notes = &quot;Sample size: 2012&quot;,
  output = here::here(  &quot;s2_dv_descriptives.tex&quot;)
)</code></pre>
</div>
</div>
<div id="section-f-regression-output-and-additional-analyses" class="section level2">
<h2>Section F: Regression output and additional analyses</h2>
<div id="regression-output-from-manuscript" class="section level3">
<h3>6.1 Regression output from manuscript</h3>
<div id="figure-1-regression-output" class="section level4">
<h4>Figure 1: Regression output</h4>
<pre class="r"><code>#### Produce sharing real, sharing fake and intervention X veracity ####

# Load data
load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;)) %&gt;% 
  # Add row with interaction term
  add_row(f = glue(&quot;sharing_all ~ {ivs}*real&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(formula = as.formula(.x),
                             data = df)))

# Edit model names
names(m0$model) &lt;- c(&quot;False headline sharing&quot;, &quot;Real headline sharing&quot;, &quot;All headlines (Intervention X veracity)&quot;)

# This edits the labels (not necessary)
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &quot;realreal&quot; = &quot;Headline veracity (0 = false, 1 = true)&quot;,
  &quot;treatmentNudge:realreal&quot; = &quot;Accuracy nudge X veracity&quot;,
  &quot;treatmentShort:realreal&quot; = &quot;15 sec video X veracity&quot;,
  &quot;treatmentLong:realreal&quot; = &quot;3 min video X veracity&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2)

# Create table
m0$model %&gt;%
  modelsummary(vcov =  ~ resid + headline,
               title = &quot;Regression output of figure 1 in main text: Willingness to share headlines. \\label{tab:fig1_regout}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
  output = &quot;latex&quot;,
  escape = F
  )  %&gt;% 
  kable_styling(latex_options = c(&quot;hold_position&quot;,
                                  &quot;scale_down&quot;,
                                  notation=&quot;none&quot;
                                  ),
                font_size = 7,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;&#39;False headline sharing&#39; shows the regression output of the left panel in figure 1 in the main text. &#39;Real headline sharing&#39; shows the regression output of the middle panel. &#39;All headlines (Treatment X veracity)&#39; shows a regression where all headlines are included with the interaction of the treatment interventions and the veracity of the headline on sharing intention. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent and headline level. All regressions are based on observations from 2232 respondents. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;%
  save_kable(file = here::here(  &quot;fig1_regoutput.tex&quot;))

#### Sharing discernment ####

# Load data
load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# calculate mean sharing discernment and collapse by respondent
df_disc &lt;- df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))


# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
disc_raw &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(formula = as.formula(.x),
                             data = df_disc)))

# Edit model names
names(disc_raw$model) &lt;- &quot;Sharing discernment&quot;

# This edits the labels (not necessary)
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2)

# Create table
disc_raw$model %&gt;%
  modelsummary(vcov =  ~ resid,
               title = &quot;Regression output of figure 1 in main text: Willingness to share headlines. \\label{tab:fig1_regout_disc}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
               output = &quot;latex&quot;,
  escape = F)  %&gt;% 
  kable_styling(latex_options = c(&quot;hold_position&quot;,
                                  #&quot;scale_down&quot;,
                                  notation=&quot;none&quot;),
                font_size = 7,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;&#39;Sharing discernment&#39; shows the regression output of the right panel in figure 1 in the main text. The discernment score is calculated as the respondent level difference between mean real and false headline sharing, that is, sharing real - sharing false. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent level. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;%
  save_kable(file = here::here(  &quot;fig1_regoutput_disc.tex&quot;))</code></pre>
</div>
<div id="figure-2-regression-output" class="section level4">
<h4>Figure 2: Regression output</h4>
<pre class="r"><code>load(here::here(&quot;wave3_data.Rdata&quot;)) # Load wave 3

# Widen data: Each participant only answers once
df = wave3 %&gt;%
  pivot_wider(
    id_cols = c(
      resid,
      threat,
      selfeff,
      respeff,
      treatment,
      bat_pmt_1,
      bat_pmt_2,
      bat_pmt_3,
      bat_pmt_4,
      bat_pmt_5,
      bat_pmt_6
    ),
     names_from = headline,
     values_from = sharing_all
  ) 


# Define vars
dvs &lt;- c(&quot;threat&quot;, # Define you dependent variables
             &quot;selfeff&quot;,
            &quot;respeff&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm(
    formula = as.formula(.x),
    data = df
  ))) 

models &lt;- list(
  &quot;Response efficacy&quot; = m0$model[[1]],
  &quot;Self efficacy&quot; = m0$model[[2]],
  &quot;Threat appraisal&quot; = m0$model[[3]]
)


# Edit labels
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2)

# Create table
modelsummary(
  vcov = ~ resid,
  models,
  title = &quot;Regression output of figure 2 in main text: Effect of interventions on protection motivation theory. \\label{tab:fig2_regout}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
               output = &quot;latex&quot;,
  escape = F)  %&gt;% 
   kable_styling(latex_options = c(&quot;hold_position&quot;, 
                                   notation=&quot;none&quot;),
                font_size = 8,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;The three columns shows the regression output of figure 2 in the main text for 1) Threat appraisal, 2) Self efficacy, and 3) Response efficacy respectively. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent level. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
   save_kable(file = here::here(  &quot;fig2_regoutput.tex&quot;))</code></pre>
</div>
</div>
<div id="pre-registered-analyses" class="section level3">
<h3>6.2 Pre-registered analyses</h3>
<div id="h4-h5---sharing-fake" class="section level4">
<h4>H4-H5 - Sharing fake</h4>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define stuff
p = ggplot(NULL) # Create empty list to store results
raw = list(NULL)
m = list(NULL)

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;)
ins &lt;-  c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_trust&quot;, &quot;index_nfc&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;)  
ivs &lt;- c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs, ins)  %&gt;%
  mutate(
    f = glue(&quot;{dvs} ~ {ivs} * {ins}&quot;)
  )

# Run apply function on dataframes
raw &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  ))) 

# Coef labels
cm &lt;- c(&quot;treatmentNudge&quot;    = &quot;Accuracy nudge (vs. control)&quot;,
        &quot;treatmentShort&quot;    = &quot;15 sec video (vs. control)&quot;,
        &quot;treatmentLong&quot;    = &quot;3 min video (vs. control)&quot;,
        
        &quot;index_crt&quot;    = &quot;Cognitive reflection&quot;,
        &quot;treatmentNudge:index_crt&quot; = &quot;Accuracy nudge X cognitive reflection&quot;,
        &quot;treatmentShort:index_crt&quot; = &quot;15 sec video X cognitive reflection&quot;,
        &quot;treatmentLong:index_crt&quot; = &quot;3 min video X cognitive reflection&quot;,
        
        &quot;index_nfc&quot; = &quot;Need for cognition&quot;,
        &quot;treatmentNudge:index_nfc&quot; = &quot;Accuracy nudge X need for cognition&quot;,
        &quot;treatmentShort:index_nfc&quot; = &quot;15 sec video X need for cognition&quot;,
        &quot;treatmentLong:index_nfc&quot; = &quot;3 min video X need for cognition&quot;,

        &quot;index_socialcom&quot;    = &quot;Attention to social comparison&quot;,
        &quot;treatmentNudge:index_socialcom&quot; = &quot;Accuracy nudge X attention to social comparison&quot;,
        &quot;treatmentShort:index_socialcom&quot; = &quot;15 sec video X attention to social comparison&quot;,
        &quot;treatmentLong:index_socialcom&quot; = &quot;3 min video X attention to social comparison&quot;,
        
        &quot;index_trust&quot; = &quot;Trust&quot;,
        &quot;treatmentNudge:index_trust&quot; = &quot;Accuracy nudge X trust&quot;,
        &quot;treatmentShort:index_trust&quot; = &quot;15 sec video X trust&quot;,
        &quot;treatmentLong:index_trust&quot; = &quot;3 min video X trust&quot;,
        
        &quot;trust_govern&quot; = &quot;Trust government&quot;,
        &quot;treatmentNudge:trust_govern&quot; = &quot;Accuracy nudge X trust government&quot;,
        &quot;treatmentShort:trust_govern&quot; = &quot;15 sec video X trust government&quot;,
        &quot;treatmentLong:trust_govern&quot; = &quot;3 min video X trust government&quot;,
        
        &quot;trust_health&quot; = &quot;Trust in Health Auth.&quot;,
        &quot;treatmentNudge:trust_health&quot; = &quot;Accuracy nudge X trust in Health Auth.&quot;,
        &quot;treatmentShort:trust_health&quot; = &quot;15 sec video X trust in Health Auth.&quot;,
        &quot;treatmentLong:trust_health&quot; = &quot;3 min video X trust in Health Auth.&quot;,
        
        &quot;(Intercept)&quot; = &quot;Constant&quot;)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)


##  Produce table
modelsummary(
  raw[[&quot;model&quot;]],
  title = &quot;Effect of interventions on sharing fake news headlines interacted with covariates. \\label{tab:intervention_covariate_interaction}&quot;,
  estimate = &quot;{estimate}{stars} ({std.error})&quot;,
  statistic = NULL,
  #vcov = ~ resid # Do you want clustered standard errors? For twoway cluster type e.g. &quot;vcov = ~ resid + headline&quot;
  stars = c(&quot;*&quot; = .05, &quot;**&quot; = .01, &quot;***&quot; = .001),
  coef_map = cm, # If you didn&#39;t define cm, then put a &quot;#&quot; before this line
  gof_map = gm, # If you didn&#39;t define gm, then put a &quot;#&quot; before this line
  output = &quot;latex&quot;) %&gt;% 
  kable_styling(position = &quot;center&quot;, latex_options = c(&quot;scale_down&quot;)) %&gt;%
  footnote(glue(&quot;Each model shows the interaction effects between treatments and one of the covariates: Cognitive reflection, need for cognition, attention to social comparison, trust, trust in government, and trust in health authorities. Coefficients are OLS estimates. All regressions are based on observations from {raw$model[[1]]$nclus} respondents. Standard errors (in parentheses) are clustered at the respondent level. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  readr::write_lines(file = here::here(  &quot;intervention_covariate_interaction.tex&quot;))</code></pre>
</div>
<div id="h4-h5---sharing-real" class="section level4">
<h4>H4-H5 - Sharing real</h4>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define vars
dvs &lt;- c(&quot;sharing_real&quot;)
ins &lt;-  c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_trust&quot;, &quot;index_nfc&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;)  
ivs &lt;- c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs, ins)  %&gt;%
  mutate(
    f = glue(&quot;{dvs} ~ {ivs} * {ins}&quot;)
  )

# Run apply function on dataframes
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  )))


# Coef labels
cm &lt;- c(&quot;treatmentNudge&quot;    = &quot;Accuracy nudge (vs. control)&quot;,
        &quot;treatmentShort&quot;    = &quot;15 sec video (vs. control)&quot;,
        &quot;treatmentLong&quot;    = &quot;3 min video (vs. control)&quot;,
        
        &quot;index_crt&quot;    = &quot;Cognitive reflection&quot;,
        &quot;treatmentNudge:index_crt&quot; = &quot;Accuracy nudge X cognitive reflection&quot;,
        &quot;treatmentShort:index_crt&quot; = &quot;15 sec video X cognitive reflection&quot;,
        &quot;treatmentLong:index_crt&quot; = &quot;3 min video X cognitive reflection&quot;,
        
        &quot;index_nfc&quot; = &quot;Need for cognition&quot;,
        &quot;treatmentNudge:index_nfc&quot; = &quot;Accuracy nudge X need for cognition&quot;,
        &quot;treatmentShort:index_nfc&quot; = &quot;15 sec video X need for cognition&quot;,
        &quot;treatmentLong:index_nfc&quot; = &quot;3 min video X need for cognition&quot;,

        &quot;index_socialcom&quot;    = &quot;Attention to social comparison&quot;,
        &quot;treatmentNudge:index_socialcom&quot; = &quot;Accuracy nudge X attention to social comparison&quot;,
        &quot;treatmentShort:index_socialcom&quot; = &quot;15 sec video X attention to social comparison&quot;,
        &quot;treatmentLong:index_socialcom&quot; = &quot;3 min video X attention to social comparison&quot;,
        
        &quot;index_trust&quot; = &quot;Trust&quot;,
        &quot;treatmentNudge:index_trust&quot; = &quot;Accuracy nudge X trust&quot;,
        &quot;treatmentShort:index_trust&quot; = &quot;15 sec video X trust&quot;,
        &quot;treatmentLong:index_trust&quot; = &quot;3 min video X trust&quot;,
        
        &quot;trust_govern&quot; = &quot;Trust government&quot;,
        &quot;treatmentNudge:trust_govern&quot; = &quot;Accuracy nudge X trust government&quot;,
        &quot;treatmentShort:trust_govern&quot; = &quot;15 sec video X trust government&quot;,
        &quot;treatmentLong:trust_govern&quot; = &quot;3 min video X trust government&quot;,
        
        &quot;trust_health&quot; = &quot;Trust in Health Auth.&quot;,
        &quot;treatmentNudge:trust_health&quot; = &quot;Accuracy nudge X trust in Health Auth.&quot;,
        &quot;treatmentShort:trust_health&quot; = &quot;15 sec video X trust in Health Auth.&quot;,
        &quot;treatmentLong:trust_health&quot; = &quot;3 min video X trust in Health Auth.&quot;,
        
        &quot;(Intercept)&quot; = &quot;Constant&quot;)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)


##  Produce table
modelsummary(
  m0$model,
  title = &quot;Effect of interventions on sharing real news headlines interacted with covariates. \\label{tab:intervention_covariate_interaction_real}&quot;,
  estimate = &quot;{estimate}{stars} ({std.error})&quot;,
  statistic = NULL,
  #vcov = ~ resid # Do you want clustered standard errors? For twoway cluster type e.g. &quot;vcov = ~ resid + headline&quot;
  stars = c(&quot;*&quot; = .05, &quot;**&quot; = .01, &quot;***&quot; = .001),
  coef_map = cm, # If you didn&#39;t define cm, then put a &quot;#&quot; before this line
  gof_map = gm, # If you didn&#39;t define gm, then put a &quot;#&quot; before this line
  output = &quot;latex&quot;) %&gt;% 
  kable_styling(position = &quot;center&quot;, latex_options = c(&quot;scale_down&quot;)) %&gt;%
  footnote(glue(&quot;Each model shows the interaction effects between treatments and one of the covariates: Cognitive reflection, need for cognition, attention to social comparison, trust, trust in government, and trust in health authorities. Coefficients are OLS estimates. All regressions are based on observations from {m0$model[[1]]$nclus} respondents. Standard errors (in parentheses) are clustered at the respondent level. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  readr::write_lines(file = here::here(  &quot;intervention_covariate_interaction_real.tex&quot;))</code></pre>
</div>
<div id="h4-h5---sharing-discernment" class="section level4">
<h4>H4-H5 - Sharing discernment</h4>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# calculate sharing discernment
df &lt;- df %&gt;% 
  group_by(resid) %&gt;% 
  mutate(
    mean_all = mean(sharing_all, na.rm = T),
    mean_fake = mean(sharing_fake, na.rm = T),
    mean_real = mean(sharing_real, na.rm = T)
  ) %&gt;% 
  mutate(sharing_disc = mean_real-mean_fake, na.rm = T)

# pivot
df &lt;- df %&gt;%
  pivot_wider(
    id_cols = c(resid, starts_with(&quot;mean_&quot;), starts_with(&quot;index_&quot;), sharing_disc, starts_with(&quot;trust_&quot;), treatment),
    names_from = headline,
    values_from = c(sharing_all,sharing_fake, sharing_real)
  )

# Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ins &lt;-  c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_trust&quot;, &quot;index_nfc&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;)  
ivs &lt;- c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs, ins)  %&gt;%
  mutate(
    f = glue(&quot;{dvs} ~ {ivs} * {ins}&quot;)
  )

# Run apply function on dataframes
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  )))


# Coef labels
cm &lt;- c(&quot;treatmentNudge&quot;    = &quot;Accuracy nudge (vs. control)&quot;,
        &quot;treatmentShort&quot;    = &quot;15 sec video (vs. control)&quot;,
        &quot;treatmentLong&quot;    = &quot;3 min video (vs. control)&quot;,
        
        &quot;index_crt&quot;    = &quot;Cognitive reflection&quot;,
        &quot;treatmentNudge:index_crt&quot; = &quot;Accuracy nudge X cognitive reflection&quot;,
        &quot;treatmentShort:index_crt&quot; = &quot;15 sec video X cognitive reflection&quot;,
        &quot;treatmentLong:index_crt&quot; = &quot;3 min video X cognitive reflection&quot;,
        
        &quot;index_nfc&quot; = &quot;Need for cognition&quot;,
        &quot;treatmentNudge:index_nfc&quot; = &quot;Accuracy nudge X need for cognition&quot;,
        &quot;treatmentShort:index_nfc&quot; = &quot;15 sec video X need for cognition&quot;,
        &quot;treatmentLong:index_nfc&quot; = &quot;3 min video X need for cognition&quot;,

        &quot;index_socialcom&quot;    = &quot;Attention to social comparison&quot;,
        &quot;treatmentNudge:index_socialcom&quot; = &quot;Accuracy nudge X attention to social comparison&quot;,
        &quot;treatmentShort:index_socialcom&quot; = &quot;15 sec video X attention to social comparison&quot;,
        &quot;treatmentLong:index_socialcom&quot; = &quot;3 min video X attention to social comparison&quot;,
        
        &quot;index_trust&quot; = &quot;Trust&quot;,
        &quot;treatmentNudge:index_trust&quot; = &quot;Accuracy nudge X trust&quot;,
        &quot;treatmentShort:index_trust&quot; = &quot;15 sec video X trust&quot;,
        &quot;treatmentLong:index_trust&quot; = &quot;3 min video X trust&quot;,
        
        &quot;trust_govern&quot; = &quot;Trust government&quot;,
        &quot;treatmentNudge:trust_govern&quot; = &quot;Accuracy nudge X trust government&quot;,
        &quot;treatmentShort:trust_govern&quot; = &quot;15 sec video X trust government&quot;,
        &quot;treatmentLong:trust_govern&quot; = &quot;3 min video X trust government&quot;,
        
        &quot;trust_health&quot; = &quot;Trust in Health Auth.&quot;,
        &quot;treatmentNudge:trust_health&quot; = &quot;Accuracy nudge X trust in Health Auth.&quot;,
        &quot;treatmentShort:trust_health&quot; = &quot;15 sec video X trust in Health Auth.&quot;,
        &quot;treatmentLong:trust_health&quot; = &quot;3 min video X trust in Health Auth.&quot;,
        
        &quot;(Intercept)&quot; = &quot;Constant&quot;)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)


##  Produce table
modelsummary(
  m0$model,
  title = &quot;Effect of interventions on sharing discernment interacted with covariates. \\label{tab:intervention_covariate_interaction_disc}&quot;,
  estimate = &quot;{estimate}{stars} ({std.error})&quot;,
  statistic = NULL,
  #vcov = ~ resid # Do you want clustered standard errors? For twoway cluster type e.g. &quot;vcov = ~ resid + headline&quot;
  stars = c(&quot;*&quot; = .05, &quot;**&quot; = .01, &quot;***&quot; = .001),
  coef_map = cm, # If you didn&#39;t define cm, then put a &quot;#&quot; before this line
  gof_map = gm, # If you didn&#39;t define gm, then put a &quot;#&quot; before this line
  output = &quot;latex&quot;) %&gt;% 
  kable_styling(position = &quot;center&quot;, latex_options = c(&quot;scale_down&quot;)) %&gt;%
  footnote(glue(&quot;Each model shows the interaction effects between treatments and one of the covariates: Cognitive reflection, need for cognition, attention to social comparison, trust, trust in government, and trust in health authorities. Coefficients are OLS estimates. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  readr::write_lines(file = here::here(  &quot;intervention_covariate_interaction_disc.tex&quot;))</code></pre>
</div>
<div id="h6---decay" class="section level4">
<h4>H6 - Decay</h4>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)
ins &lt;-  c(&quot;order&quot;)  


# Specificy formulas
fs &lt;- crossing(dvs, ivs, ins)  %&gt;%
  mutate(
    f = glue(&quot;{dvs} ~ {ivs} * {ins}&quot;)
  )

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  ))) 

# Glimpse
m0[[5]] %&gt;% map(tidy) %&gt;% map_if(is.data.frame, ~mutate_if(.x, is.numeric, round, 3))</code></pre>
<pre><code>## [[1]]
##                   term estimate std.error statistic p.value conf.low conf.high
## 1          (Intercept)    0.156     0.010    15.182   0.000    0.136     0.176
## 2       treatmentNudge   -0.023     0.014    -1.630   0.103   -0.050     0.005
## 3       treatmentShort   -0.003     0.015    -0.194   0.846   -0.031     0.026
## 4        treatmentLong   -0.049     0.014    -3.580   0.000   -0.076    -0.022
## 5                order    0.000     0.000     0.002   0.998   -0.001     0.001
## 6 treatmentNudge:order    0.000     0.000     0.755   0.450    0.000     0.001
## 7 treatmentShort:order    0.000     0.000     0.090   0.928   -0.001     0.001
## 8  treatmentLong:order    0.000     0.000    -0.767   0.443   -0.001     0.000
##         df      outcome
## 1  538.808 sharing_fake
## 2 1079.649 sharing_fake
## 3 1060.867 sharing_fake
## 4 1053.021 sharing_fake
## 5  545.659 sharing_fake
## 6 1094.846 sharing_fake
## 7 1075.645 sharing_fake
## 8 1069.961 sharing_fake
## 
## [[2]]
##                   term estimate std.error statistic p.value conf.low conf.high
## 1          (Intercept)    0.249     0.011    22.284   0.000    0.227     0.271
## 2       treatmentNudge    0.019     0.017     1.115   0.265   -0.014     0.051
## 3       treatmentShort    0.012     0.016     0.756   0.450   -0.019     0.043
## 4        treatmentLong    0.018     0.016     1.122   0.262   -0.014     0.050
## 5                order    0.000     0.000    -0.840   0.401   -0.001     0.000
## 6 treatmentNudge:order    0.000     0.000     0.838   0.402   -0.001     0.001
## 7 treatmentShort:order    0.001     0.000     1.456   0.146    0.000     0.001
## 8  treatmentLong:order    0.000     0.000     1.023   0.306    0.000     0.001
##         df      outcome
## 1  535.342 sharing_real
## 2 1073.443 sharing_real
## 3 1060.711 sharing_real
## 4 1050.390 sharing_real
## 5  545.873 sharing_real
## 6 1093.034 sharing_real
## 7 1078.183 sharing_real
## 8 1070.759 sharing_real</code></pre>
<pre class="r"><code>nclus &lt;- m0[[&quot;model&quot;]][[1]][[&quot;nclusters&quot;]]

# Regression table
models &lt;- list(
  &quot;False headline sharing&quot; = m0$model[[1]],
  &quot;Real headline sharing&quot; = m0$model[[2]])

cm &lt;- c(&quot;treatmentNudge&quot;    = &quot;Accuracy nudge (vs. control)&quot;,
        &quot;treatmentShort&quot;    = &quot;15 sec video (vs. control)&quot;,
        &quot;treatmentLong&quot;    = &quot;3 min video (vs. control)&quot;,
        
        &quot;order&quot;    = &quot;Task order&quot;,
        &quot;treatmentNudge:order&quot; = &quot;Accuracy nudge X task order&quot;,
        &quot;treatmentShort:order&quot; = &quot;15 sec video X task order&quot;,
        &quot;treatmentLong:order&quot; = &quot;3 min video X task order&quot;,
        
        &quot;(Intercept)&quot; = &quot;Constant&quot;)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)


##  Produce table
modelsummary(models,
  title = &quot;Effect of interventions on sharing fake and real news headlines interacted with number of tasks completed. \\label{tab:H6}&quot;,
  estimate = &quot;{estimate}{stars} ({std.error})&quot;,
  statistic = NULL,
  #vcov = ~ resid # Do you want clustered standard errors? For twoway cluster type e.g. &quot;vcov = ~ resid + headline&quot;
  stars = c(&quot;*&quot; = .05, &quot;**&quot; = .01, &quot;***&quot; = .001),
  coef_map = cm, # If you didn&#39;t define cm, then put a &quot;#&quot; before this line
  gof_map = gm, # If you didn&#39;t define gm, then put a &quot;#&quot; before this line
  output = &quot;latex&quot;) %&gt;% 
  kable_styling(position = &quot;center&quot;) %&gt;%
  footnote(glue(&quot;Coefficients are OLS estimates. All regressions are based on observations from {nclus} respondents. Standard errors (in parentheses) are clustered at the respondent level. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  readr::write_lines(file = here::here(  &quot;H6.tex&quot;))

# Produce figure sharing_fake

g &lt;- df %&gt;%
  group_by(treatment, order) %&gt;%
  get_summary_stats(sharing_fake, type = &quot;mean_ci&quot;) %&gt;%
  ggplot(aes(
    x = order,
    y = mean,
    group = treatment,
    colour = treatment
  ))
 
p &lt;- g + geom_point()+
  facet_wrap(~treatment)+
  geom_smooth(method = &quot;loess&quot;) +
  scale_y_continuous(limits = c(0,.4)) +
  ylab(&quot;Sharing fake headlines&quot;) +
  xlab(&quot;# Task&quot;) +
  theme(legend.position=&quot;none&quot;)

p</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
<p><img 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AABBBBAAAEEEEAAAYcFCIA6DE5zCCCAAAIIIIAAAggggAACCCCAAAIIIOCcAAFQ56xpCQEEEEAAAQQQQAABBBBAAAEEEEAAAQQcFiAA6jA4zSGAAAIIIIAAAggggAACCCCAAAIIIICAcwIEQJ2zpiUEEEAAAQQQQAABBBBAAAEEEEAAAQQQcFiAAKjD4DSHAAIIIIAAAggggAACCCCAAAIIIIAAAs4JEAB1zpqWEEAAAQQQQAABBBBAAAEEEEAAAQQQQMBhAQKgDoPTHAIIIIAAAggggAACCCCAAAIIIIAAAgg4J0AA1DlrWkIAAQQQQAABBBBAAAEEEEAAAQQQQAABhwUIgDoMTnMIIIAAAggggAACCCCAAAIIIIAAAggg4JwAAVDnrGkJAQQQQAABBBBAAAEEEEAAAQQQQAABBBwWIADqMDjNIYAAAggggAACCCCAAAIIIIAAAggggIBzAgRAnbOmJQQQQAABBBBAAAEEEEAAAQQQQAABBBBwWIAAqMPgNIcAAggggAACCCCAAAIIIIAAAggggAACzgkQAHXOmpYQQAABBBBAAAEEEEAAAQQQQAABBBBAwGEBAqAOg9McAggggAACCCCAAAIIIIAAAggggAACCDgnQADUOWtaQgABBBBAAAEEEEAAAQQQQAABBBBAAAGHBQiAOgxOcwgggAACCCCAAAIIIIAAAggggAACCCDgnAABUOesaQkBBBBAAAEEEEAAAQQQQAABBBBAAAEEHBYgAOowOM0hgAACCCCAAAIIIIAAAggggAACCCCAgHMCBECds6YlBBBAAAEEEEAAAQQQQAABBBBAAAEEEHBYgACow+A0hwACCCCAAAIIIIAAAggggAACCCCAAALOCRAAdc6alhBAAAEEEEAAAQQQQAABBBBAAAEEEEDAYQECoA6D0xwCCCCAAAIIIIAAAggggAACCCCAAAIIOCdAANQ5a1pCAAEEEEAAAQQQQAABBBBAAAEEEEAAAYcFCIA6DE5zCCCAAAIIIIAAAggggAACCCCAAAIIIOCcAAFQ56xpCQEEEEAAAQQQQAABBBBAAAEEEEAAAQQcFiAA6jA4zSGAAAIIIIAAAggggAACCCCAAAIIIICAcwIEQJ2zpiUEEEAAAQQQQAABBBBAAAEEEEAAAQQQcFggj8Pt0RwCCCCAAAI5UuDI5cuy8tQZOZGQIMXD88q9xYtL1ciIHPmsPBQCCCCAAAIIIIAAAgggcCMJEAC9kX5a9BUBBBBAINsJxCdelf/btl2+PXIsXd9alCopw+vUlgoFC6S7RgYCCCCAAAIIIIAAAggggIAzAkyBd8aZVhBAAAEEcqDAmcREeWDVGq/BT33cpSdPSduVq2XvHxdz4NPzSAgggAACCCCAAAIIIIDAjSGQ40aAJqROPZw1a5b8/PPPcvbsWYmKipK6detK27ZtJSwsLOCfytKlS2XFihVy+PBhSU5OlooVK0qjRo2kVatWAdfFDQgggAACOUvg1S2/yt6LlzJ8qNOpI0S7bNgki+9rLLlz5cqwLBcRQAABBBBAAAEEEEAAAQTsF8hRAdD4+Hjp1q2bHDp0yEgVT11/beHChea1evVqGTBggISHh/ulqIHU119/XTZu3GjKFy5c2Lzv2rVLFi9eLN9//70MHz5cChRgWqNfoBRCAAEEcpjAzgsXZMHvJ/x6qm3nL8ji4yekTelb/SpPIQQQQAABBBBAAAEEEEAAAfsEctQU+MGDB5vgZ8OGDWXevHkyZ84cmT59ulStWlViY2Nl3Lhxfsv94x//MMHPypUry8cffyw//PCDeX300UdSoUIF2bRpk4wfP97v+iiIAAIIIJCzBJacOBXQAy1JnQ5PQgABBBBAAAEEEEAAAQQQcF4gxwRAt2/fLuvXrzcjMocMGSJFihQxmuXKlZNRo0aZ6e8LFiyQC6kjdjJLly5dMiM8c+fOLYMGDZIaNWq4brn99ttl6NCh5lyDrFqWhAACCCBw8wkcvXIloIc+djmw8gFVTmEEEEAAAQQQQAABBBBAAAGfAjkmALps2TLzkM2bN5f8+fOneWCdCt+gQQNJTN2sQoOgmaWtW7fKtWvXzEjPKlWqpCuueaVKlZKUlBTZu3dvuutkIIAAAgjkfIHCeQJbRaZQ3sDK53xBnhABBBBAAAEEEEAAAQQQcEYgxwRAt23bZsR0+ru3pAFQTVu2bPF2OU2eltU1PkeMGJEm3zpJSkqSc+fOmdOiRYta2bwjgAACCNxEAvcUC+z3/93Fit1EOjwqAggggAACCCCAAAIIIJB9BHLMcJQjR44YVV8BSSvf2iApox9BrtRdeotl8Ifqv//9bzOaVKfZ6xR7X2nNmjVmAyZv14PZkd5bPeQhgAACCFwfgftKlpDbIgpmugu89q5Q6mjRjmXLXJ+O0ioCCCCAAAIIIIAAAgggcJML5JgA6MWLF82P0gp0ev5crV3crXKe1/09P3r0qHz44YemeNeuXUWDpb7Szp07zSZM3q6XKcMfwt5cyEMAAQRuFIE8qetEj76rjvy/NeslKXVJlIzS8Dq1pGh43oyKcA0BBBBAAAEEEEAAAQQQQCBEAjliCnxycrJc+e9mFIUKFfJKFRkZafITEhK8Xvcn8/Tp09K7d2+Jj483a4p26NDBn9sogwACCCCQQwUaFi8mUxvUl+I+gpsFwnLLuNQgacdyZXOoAI+FAAIIIIAAAggggAACCGR/gRwxAlR3ay9QoIBcvnxZfAU4rfzw8PCgfioHDx6U1157TY4dOya1atUyu8NnVlG7du1MWW/lNIjas2dPb5fIQwABBBC4gQSalyop61o0l2mHDkvsqdNyIvWLtmJ580qjEsXl6Qrl5Zb8+W6gp6GrCCCAAAIIIIAAAggggEDOE8gRAVD9sZQsWVJ0fc8LFy54/SlZ+REREV6vZ5SpGyf17dvX1H333XfLkCFDxJ96SpcuLfryljSgSkLAl8CuC3/IxL37JPbkf4IpOnW2UfHi0rlKJWmQOuKMhAAC2UtAd3jveltl88pePaM3CCCAAAIIIIAAAggggAACOWIKvP4YNQCqyQp0mhO3f86fP2/OMtrcyK2463DJkiXy97//3dTbpk0bszO8P8FPVwUcIBCgwCf7DkiL5StTR5MdkSOpSztcTV1b8GRConx/7HfpsHqdDNy+U1IyWW8wwCYpjgACCCCAAAIIIIAAAggggAACCORYgRwTAL3lllvMD2nv3r1ef1hWfs2aNb1e95Y5d+5cGTBggFy9elU6deokb7/9tuRJ3cmXhECoBGYfOSpvbdshyRk0MHHvfhkdtyeDElxCAAEEEEAAAQQQQAABBBBAAAEEELAEckwANDo62jxTTEyM9Wyud90kSUdyaqpbt64rP6ODtWvXmtGeusu7Tn9//vnnMyrONQSyLHAxKUne3rbTr3pGpQZAD1267FfZ7FhIn3XW4aPSd+s26bZxswzZsUtWpa6dSEIAAQQQQAABBBBAAAEEEEAAAQTsFsgxwxnvvfdeqVy5ssTFxcmCBQtENyCy0tSpU0V3cK9UqZI0bNjQyjbvq1atkkuXLkm1atWkSpUqJk83TBo9erSZZtylSxdp3759mns4QSAUAktOnJLTiYl+VZ2UOgX+29TRor2iqvpVPjsVWnT8hLy2+Vc56fGsE/bskwbFisqH/3OXlEvd1IyEAAIIIIAAAggggAACCCCAAAII2CGQYwKgOlJTg5X9+/eXYcOGyZo1ayQqKkq2bt1qjvOm7sjbp08f0XLuaezYsWZnd73XCoDOmjVLjh49aop9+umnoi9fSTdEatq0qa/L5CPgt8Cv/12n1t8bfj3vfcMvf++/HuXmpa5j2uWXTZLio/H1Z+Ol/aq1sqhpI7k1f34fpchGAAEEEEAAAQQQQAABBBBAAAEE/BfIMVPg9ZGbNWtmRm7qzutLly6VyZMnm+CnjgwdOXKk3HnnnX7JbN682VXu2rVrktFLp9eTELBDICHA/5YCLW9HH7NSx5nUEZ+vpI789BX8tOr+/UqC9Nm63TrlHQEzGv/Xc+dl0e/HZUXqUglnPUYPQ4QAAggggAACCCCAAAIIIIBARgI5ZgSo9ZD16tWTmTNnminvhw4dEt0cSQOiuXN7j/XOmDHDutX1Pnz4cNcxBwg4JVC5YMGAmqpc8MaaJv7VwcNyIXXtT3+STpPff/GSVI4IzMSfuilzYwnofzcjf9stR69ccXU8LHUk/4Olb5X+tWqwXIJLhQMEEEAAAQQQQAABBBBAAAFfAjkuAGo9aIkSJURfJARuFIHWt95idoC/lrq+pz/pgdQA0I2UVp0+E1B3tTwB0IDIclzh17dsky8OHkr3XPq/kTmpyymsTP1vZNa990jNwoXSlSHDu8CV1FkNC1JH0q47c1bOXU1KXWoin/xvqZLSvGSJdEvEeK+BXAQQQAABBBBAAAEEEEDgxhPIsQHQG+9HQY9vdoGyBfJLp8oV5eN9BzKliL6lpNxbonim5bJTAZ0CH0gKtHwgdVM2+wt8duCg1+Cne89107Dnft4gsc2bSv6wMPdLHHsRiD15Snpt3irHUpeZcE8T9+6Xu4oUlompG5BViYhwv8QxAggggAACCCCAAAIIIJAjBLzPC88Rj8ZDIHDjCfSvWcOMxsqo57VSR7tNqOvferYZ1eP0tRLh4QE1GWj5gCqncLYWSEpdD/f9XXF+9fHgpcsyNXWaPCljgSUnTsqT635OF/y07tqcusaqbkB24NIlK4t3BBBAAAEEEEAAAQQQQCDHCBAAzTE/Sh4kJwiEp65VO7VBfXn79upSPDxvmkeKSB3h1u22KjK3cUMpFmAwMU1F1+mkaeoU20BSk5I31gjXQJ6NshkL/HQ2Xs4kXs24kNtVndJN8i3wR+rauz02bZXMtuxT896pG5WREEAAAQQQQAABBBBAAIGcJsAU+Jz2E+V5bngB3eCle7Xb5KWqVWT7+QtyIiFBiubNK3cULiz5wm7c7yyerlBexsTtkfN+bITUPnV900oBbgp1w//gs/AAl1PXdYxN3R097sIfqes4ilSPjJT7UgPON+q08EBHIeooUJJvgVmHj4ouF+BP0rV3t6aOBq2TOiWehAACCCCAAAIIIIAAAgjkFAECoDnlJ8lz5DgBDYTmpCBE0dQRrePr1pFOP2/McCTa/2fvS8DrOsqzP+lq3yXbWixbsrw7TuzYWexsJGFNylYCTWjC2pDSQoHSUtqn/Ow0UAoB2kKhlJKmTQokhLJlA7KRPY4T77stW7Yl2bL2XbpX//vOuSMdXd3lXOlKulf6Pj/jmTNnZs6c9yxX855vqc7Jka9ccN6cu57TdUL/c7xBvrT/oLQPjdeYpAsBulS4aWn1dB162sbNTo/Pn2dOCn8YmDYQXQM/A1IzHmH7ufTuiefcta0ioAgoAoqAIqAIKAKKgCKgCMxNBJQAnZvXVc9KEUhKBN4AzU6a+P/Vzt1hfRFeicBO/7ppgyzKzk7K+SfbpP5h3wH5lyPHwk6LGn8MeHOqr0/+avXKsG2StXJDnNqH4cg6asX+qOGU/A6+L4lBYUaGXFxaKrfULJEVBfMr0I9X7U97P8Tb3vbTXBFQBBQBRUARUAQUAUVAEVAEFIFkRUAJ0GS9MjqvpESgB+bbTYigXJDhkwpoKqrEj8C15Yvk2WtfJY80n5UX29qE/gkrgSUj25OgUvGGwGMg9iKRn+4RvnrwsGwFsXw5klu6hobl+8fq5ReNTXKsp1fSoXG8rrBA3rFksby7Zqlkwh/tbAkJyktKS3B/tHuawjvhXsEt29Hv1pdenkCyv4D67+GcP7F6hXx8VWqRwu7zi7e8ME6fwYvCtP8tntc7j5+QbcCwC89sVU62vHrRIvkwXHXU5ufFOyVtrwgoAoqAIqAIKAKKgCKgCCgCisCMIqAE6IzCrQdLVQR+D/+Kd4BIeq61TUaCJ7EkN0feU1sjf1pXm7K+FmfretA35VsWV5o0W3OY7uOe7uuXfV1dwojmdfn5shrkYiLlG/Cn6lW+hbZuAnQPfDy+68WXJhCE29s7hOkeRFX/70sukirc47Mlt59/nrwJUckHgF80uaG6yvg7ZZuRkRHZh/m/C/36h4ekANu+wIik46nlj106ywG//Pf2VyRw9qy8o3qxBILjM2f/NBDBNnFMltNBBts6H+5dbtvclrmdAS1TbjNPJmEAsp+D6PYqV6C9lUHg8nFoEv/0VKOtMvlJ3N93nWiQH508Jd/ceL7cACxVFAFFQBFQBBQBRUARUAQUAUVAEUhWBJJrlZasKOm85jUCJD6pRRcqJABuh+/FB0As3LPlYkRtzwptotvzEAGSi5/Zu18YTMYtq6HV+Gn45HxdRbm7elJlas161Y7kATgXEllZIOea+/vlnc9vk7NRguLsRvCtW0CQPnDF1lkj988vKpQ7N2+Uv4AmZz+0VX0jAckAgZmB3IdzyQBZeQW0RG/LzZa9e/eKHybvTN8+clSqe2IHRXoE7TbAd+h0uVuwBGkmAphZcpTEqLvMbff+Sd0MHjqRJP7qgUNRr7kd5mqQn+cBeyuf2r1vAvlp9zHnffUXL+8U+py9etFC9y4tKwKKgCKgCCgCioAioAgoAoqAIpA0CCgBmjSXQieSjAj8FNGTw5Gf7rm+AsLrT196Re677FJ3tZbnIQL0N/knCPIUTmvxYHePvPvF7SYw0YdgNjwVaYYbBquJ7GWcYZCFLQODshganf/okQjbCxL0P+tPyFTnSs1KJpKTwyBu3WVLWrLe7mfZbtMhwvcqFgo1sDmfNgR6Iom7NDdXtpaVyjoQdUMgdK00oVzvgfxke3Cp8nxru7ypqsJ2T2huz20oJDhVpINQw5SEqE0kRm3ZEqV2m/vikXyM+x2QyX8M4pv3QiSh6fsd0Oa08gq0af8bWp6xhDq6f7drrzx97VXGlUKs9rpfEVAEFAFFQBFQBBQBRUARUAQUgZlGQAnQmUZcj5cyCAyBtPn8vv2e5vsUNOweaT4jr0+Adp+nA2qjpEOAJu8kwsORn+7JfgGBixi05yqXmbF7v5dyUWb8r272GfAH5Genx5syjx4PxBi9fqYhZwx25j87Wi/vqVhkSEtLZNqcBB9NxplbUtPmts62HT3GJAoFIO+uR/AsplhyvDe25qd7jBO9ve7NWS0TS5KlXghTkqVWk9QSpe6cZbvNdhTeb/duvcQExjoRBqdLoU377U0bpRrkspWfwLzdqxwDltRK3gJiWkURUAQUAUVAEVAEFAFFQBFQBBSBZEMg/lV0sp2BzkcRmCYE6O/zDLTmvMr/gVgKJUCPQOvv24jS/fjZFgRP6pciEBMkGv4EfkOvUXNRr9CmRLt/OXxUekAGepEvw3XCVVde5qVp2DY0267NyxVL+PlAnqXTNBzKfTQP90E/lHWmjLo6BKxpPX1ajvf0SGV7u9lHv5jpaJMW9JGZHk4xsKNdDhw6JD4Qbqkgscjn0HPoB1apKCRLraZsv0sDNty5WB+lJEQrkX68sk5e7u6W3d290oHzX5RfIK8CyX05gpOFym5ot8cjbK8EaDyIaVtFQBFQBBQBRUARUAQUAUVAEZgpBJQAnSmk9Tgph8AhkATxyGGQnW65G4Fk/nbXnnEmp+3Q8HoEZtJMNy+tlq9esF4yYNKrkvoIPNjU7PkkGGjoDMzYy0FMUqympNWcZO5OJLusdqU1D383/Ff+tL3VkJlp4chL12zeUFYsra2t0tHXJwUeTbJtdz+J1BQhQEsy4jMNL5mEJq3FJVVye2+5NUuXY/LLs4I//3585Dl9SnY2NRqTe6s9mgVz+KyebimGr9jB9DQZSvfJcIx3Ff2BqigCioAioAgoAoqAIqAIKAKKgCKQjAgoAZqMV0XnlBQIIBZ0XPNwt34Y5vB/vXN31P73NJwS+ub74vp1UdvpzulFgAQRhTk169xlW2frmYcmthkEYTnc0SGLsJ9cIc3HjXYlcwzIstk2WpfO9ou7dkkNCFB7DHPgOP67rKhAdsCnZyyflysRfMlq5ZVlxheoqyDTZ3xuxjGtWW3Kc/UBf7+LEGaRV3gEFyaAxG1cJVwkkdL8fDkyOGT2O3cBr1eaZGKfD3kG8gzkHDMTfbORspDmopj7mGSnKzhWHbRLO7q7Rk93BKdOItQQomnpMuTLcMowsx/Edh20klUUAUVAEVAEFAFFQBFQBBQBRUARSEYElABNxquic0oKBNYUFsQ1j9XB9vQd+vcICOJF/uPYcWiCLjHBXLy0n0ttSCRa8s+WeX62zuaWcLTb4XLbz+6z49ntTmg9voBAOid6emUo4JcymAJfgAA6S3NyEgIpj1fd12MC63gdMM0E/pn8K5hambcuWyb/23DSBAgKd9wN8DV6IzSN04OkXV6GT0gShmorh+vLuguKiiLtmpH6XjxLXTDR7zZ5APkItlEHc3/Wc38vc+BvysjPli6QHtQbwpOzjEJYHhoYFjlzLu5zIRGaDTLQydMkB9u5TNCQzDO5s50X3C6ABmU+ygXYZ/Lgdj627bWJexIz0IHXn4GQrFDTOAtkf9aop4cxFyHZOL8yaJHubWs1/kez4aaBiRqltswgTiqKgCKgCCgCioAioAgoAoqAIqAIzAYCuhqZDdT1mCmBAH11LgZBdjqGjz17MjcsrjLFpxEQ6ZTHPtRGuxeR5j9z3ho7zKznJPPc5tckEe223WeJReY2hZKO7m22odh+3DdT8ty5NvlVY9OE4ESPNZ0B8VwgNy2pNpq4U5kPg9LwXjmJQEheJBME2KLs+LQxw42bAzP49y+rMYQmiaozAwNUbJQKaJZuKimRuvy8Cd2uqyyXbx8+ZjQhJ+x0VWRj7FeH8QvpahJXcRDXvANBmDpxL9D3pEnYZs66ThCZphxswzrQk5MTkHHTKQM4lwFzC0/tPua1IglaiPkWAe9C3BdFLCOxrhiphDn2sY7bRWgzU6TpBcX4SAAt4wYP9/Vr4UeU2rHUIGXqgb/ZUKE/UprWkxBlnoNnxpZJlPI5UlEEFAFFQBFQBBQBRUARUAQUAUVgOhBQAnQ6UNUx5wQC9M35hfVr5QOI7B1LXgui6NogWRRv4JA9nfEFGok1l9D9JB1tdGnmNniK9SXJnPVukjN0jFTdfgLBp37VGNk3577Obvm3o8fkIytXCDXYpiKXIPr1yVMRIqyHDExyMnOKx3MPSa1OJi9Sm5cnb69eLD89dToiCUqC9j01S6UEpFSokLymxqXRxLQambjHqJHpEJlBknOUyHSIzX70URmPABHpBi7d0KpsRPIipAhJgpbAFL0ExGgp7iPmJEpLg3kZTNJZ5r6p+G8lIfkeEOzfPVIv51ym8aHzvKi0WK5GlPlYwncRgzaFC9xEcpQkKElRNznKbdUcjYWs7lcEFAFFQBFQBBQBRUARUAQUgVgIKAEaCyHdP68ReFNVpXwO2pmf33sgIllE/4rf2bRhFKchmOfGI1MJHEJCgdpWJDBDc0t6kticj0JtyF9HIT8tJs39g/IA2r2t2tHgtfXx5ltxH7zU1i4nevuidi1C4J3rKsqjtknUzmGQayQemQZAUJoc5Uxohl4G0/jn2zrkLO6dAPRGA2DW6COzFJqpC0GS3j84LD0traMm5jQrt+bm8d3hiTobHYcIkDTtMNqyw3Lcg4psMcjSUpClJETLTPLJApCNJEmdbZSxPwftwglJ8I+uXC4PNTfLNtzfQzi2ldKsTHkNPvxYH7O2fjI532UDeGaZQoXkqFtblGW7zX0qioAioAgoAoqAIqAIKAKKgCKgCMRCQAnQWAjp/nmPwJ8tr5NLSkvlG4eOCDUKh0AgUVZD4+49tTXy3tql47T5loE8ikfCmSnb/pbEdJOb7jK1N1XCI/AUfH6OUTXh29ja5xEh/Q+qKqakBUqz5D+Bttx/HW+QY/A1Gk5IGLFNYZjo4/0glvpAnvfh/uozZYewJOnY76oniWnbOGX0MW2c9qYuuB2T+s5CFHoml5xF+SBIYZW5gYAlS+tjvCpoir8ABOmCIDHK3GyDHGV+ZUWFXF9ZYdwsDEC7txjEKF0tzISQHO3t7TUp9HjWx6glRH2Y1w58hNiLNIjnhu/jaxctkhI8eyqKgCKgCCgCioAioAgoAoqAIjB/EVACdP5eez3zOBC4CP5A/+fSi6D9FJCWgUFDYBVECOjBxXYOtJL60TaaUN8qE9qZr0OgkVYQcCQ2bbIanTPpKzPaXFNx35EwPggjnQejhh8HaWkDWUVqx3peE/qADCUi7fZqkESCsY6CgGnD9SXvlIVo2QUgYPpAzny9s0f6OrpDSExEl492UN0XEwEGIWIAojxoMjL4kA1URL+UWdBwtRHcuc2o7nz+qDtI4prXlIR5P4g9XgdGO2ekeOYUlqkh6+RpshQatAyyxGtO36ZuwjpVr2MPzqNn2C8nkKIJ/ZCSEF3oG5IF8A26EETpIrPtM+WFKBP/mRL7kai7u1v2dXbJz043StsgtJpxvQZA3g5ifrfjubuxbpl8aO1qyYX2qGqNztTV0eMoAoqAIqAIKAKKgCKgCCgCyYOAEqDJcy10JimAAP02ViEoSDShptFHYDL69QOHDMGZBS2kTJChWSBXTBmkGInPTBAO1P6s6miTE0gq3hEgYUVNXJpu+0FLkWqmufcw2KchbDM/Ay3IXhCPDpnlmHePElkgr9iX+2j2zfI9PX1SOOQfJTctyUnNTBJdNrHek2RA44zJCsYRkOcqkRFgWCgGAxoL+OOUGUWdQYHGcidgUH4ayTaH+JxKAJ39XV2yE4S515j31+ZmG43h0DPhfcn7hD5SLSlK1wGMXt+D94DJXdv0m0pfqvSdypz7o382CT3izG/bAFZHhyKrlJKIJhG6CORjeQYS82DZkqUZaJNIoXn+jxtOjQ6ZjsctF+9ZJnxZkkd275GmhgZ5V82ScT5GGYTJmtRTm1RFEVAEFAFFQBFQBBQBRUARUATmJgJKgM7N66pnNc0IkOigb023xiZ911nz9Neh3BgYlh1RAhyV52TJuxFoJpnkHPxBtoLY8IFsSgOBYUkcq+lG8o8ab4MgF5zc2R7C9nCQeDREJE7KyYET9lGnzE/MTA7SEW1ZJidoCUyWWU8CyKkPtjP1rLP9UeGFPCnwSmfhgJAWar4NR/ff6bTU/70gQB1AJ5K5E9ncHcmcWoSh2yQ9I/mh9HK8qbRp7JvodzLaeKcQyCeckISlJmoud/rCtYhex/cKNTFJiHbggwnJRpbbXdusa8e+tmDdUPQhZ2UvCWBqkhpt0jDQkvqkFmklSNEKEKQVyCuDObdJnDJ4E/FoZ5A2nCtN7iMFKmvB+/bek2PkZ6ST3tnRKc9A2/6KBQuM3+QuEN9uoWYoCVFLitoycx/mpKIIKAKKgCKgCCgCioAioAgoAqmLgBKgqXvtPM2cZr37YRpI8ohRolcVFHjqN98bkdy0Zug2t+Sm3ebiPJrcAk2j5a1t8uiZFukAsWglC4vsS8tK5A3wqZcDEmA6hHPrBItI4qQd58K8DaQJc6tp1m3KiEAdbEO/kjTrTXpJhTkmPYjeJsi705iWQ8vSalvmo1wAzUuSm4WjmplOmSSmSbivC3CdpqKV6W2GiWk1DO3MeIRk/nQI8SJuBcBxscdfZ2qY2mebxGhrwC+tJEiDJGkrnn9bju8sp+MMnTGJXgvmx7Qb5uqhYshzVI4MD0kGiNQsnFM2znMFAnS9pXyhrM3PH9flibPnzEeTcZURNvg+vrysLOy9SV+jfX19JoV2ZyR6S4wySr27rCb1oWjptiKgCCgCioAioAgoAoqAIpB8CHhcYiXfxHVG0RFgNOpP79kn29s7xjVcW1ggnz9vrVy9aOG4+vm0wcBB1m+czS25aXMuhKcqJDMuX1AmlyE6eDM0lDqhWZkLLaIq+KDLAHE0GaFWJcmMcyA1WjFHEh0kOExutp0yic64zwDzVUk9BEgW5eDaMeXivrJlk7u26QNzdB/q7bbjK3Nsm1qYrKMZcy6IuPkgC0GsxSMLQIAli+TjGjEtiTEhfhSh9qh9V5h3iHl/OO+Tc9jHOr5fqJ09m8J3l/nlCnEjcRz1j7Z1SR5SLVyNLIa2aBWIyRf7B2QY7i6yQZT6YpDTfA834X3M93A8wt8Npp4wvoVtICaSopYctWXVHI0HZW2rCCgCioAioAgoAoqAIqAITB8CSoBOH7azNvLPEQTiwy/vNCbIoZPY39Ut73x+m9x+/nnyfkSjnktiF6iW1LR5KOEZS3Mz0ZiQCK3EYrsyxnqbmplnoe10DgRECxbyNMkmKUHCgsQE60lsqqQuAqSYDVFpyMWguXSQaDSm0+56EJG50LRke/q5dPdzyumG8GRQH5WpIbAGmvH8KDFM3wse5ILiQg+tkqsJ30Ml+ADDtDzK1CxRyveNk5z3kH0HMafmJsnU2ZJeHHgfNEeZjOTA6QATxId5ZWOORmsU82SZxGgWckvnUyM/XgLUDB7hP/tbw0BMoUIC1JKizEOTao+GIqbbioAioAgoAoqAIqAIKAKKwPQgoATo9OA6a6MexgLsI6/sCkt+2klxif+p3XuFi/iLS0tt9aznXHhzkW6FWpg0RXcTm9Y03V1nyzNNbNp5esk7sRA/i3NxEk0/g2WQnI4pKEzuvQykbWYEAd6FVjOSZKNJQRLSbpOwpLakyVG22pckLW2ZWpS2DdtxTPc9PiMnowcxCBB3N/bu90UetAivhVb8b5rPxkRrBVyJrC2cfQK0HSTec+fa5Cg0Env9w1IAbclVmNtWaJzn43wmK8TIEqUrogxCbXTzsQbvMr7P+B7j+82WT0PTkv5LAXqUURK/yw9t2F4mCQlohPkyGB0J0V/0D8nhtF5ZAg3SpZkZ8Ec6ff49+ZsVyayeZ0/TemqQkhhlHlrmtpKkib9PdERFQBFQBBQBRUARUAQUgfmHwORXSfMPq5Q4428cOiKDXHTGELb4xwOH5d6tl8RoObXdJDFt4kLQJpKWLLchmMhPG07K8/Dh1oJyFhaptTBH3VJSLFtKSyR9mhbPA5hXO7SHsuCrsAQLUDcxEu8Z0x8gF/7NIDPPgAQ4gzI1OZmbMvIBb4pl8R466dtT44rUAgOaODm304wmFqNAcz84RCdnPcps59Q7fU739Zt7GiFR4BQQfAr2O8m9DfI8iPE6kEDVuXAzgHaZOAYToqmY+6uLvlhR5jVfmZcnFbjXqEFJYtKSnCzPplYliaUO3JsMCFVCQgRkznwSEkLUmmNuy9wmCcTcnVjHZ9fm3Mdtm4ib12d7A3A/sn2H/KKxSdJRNn2R877jvcV7bmVernzqks1SirmRQGWy7zdbtjnfb7Zs29g6+x609eZgcfz3PHwL/wya/n6XxmqzDMqR7h55/GyL3LS0Ws4vii8IWByHN035/JoARiARQ6UX77+vHDgIYjYgQ7hGg0jMh9J9Thnv3UGUWTdjfocx3yHcH0yPDgyaZOfNDxU1IEKX4rrWZPqkBjmJUQZpmq7fIHts+wGPJGkk4X1tyVF3buvdz4rX+z3SsbReEVAEFAFFQBFQBBQBRUARmKsIKAE6h64sF9sPN5/xdEZczD+LhXIHfKHlY3HFhTj7uxfsodt2sW5z7udC3m7bss1tfaQJ1SNA053HT0gPFsuUvGDDUyCp7sdC/kUs8mmmX4jFaKKE2lKPQMvrKMYP8mVSgAXvpdCEfXX5orBRhhlAitpNjSBtm3G+TZgvcxKezKkFFZtyTtQZJG6cNJwXiR76zPMhCIwPZArLoCRMPfc5CaQkyusK8xE8pNSQhSQVHaJQDFmYCXooAzcVSRFeLZsnYjH+1QOH5CwIC6/y+lKQ5+FMlIuSOwAYNfoeaTojOxCp2n7EoFn2+UWFCJhVLgvhXzAVhfcACRoSNyRsGnCe/ECQk5kl5+FaVSKgjZvAma1zJNH13c0b5bLjZfLPh4/KaUZ6Rx2F78h31SyVv1mzEpqWiXsf2XO1hGik3H4wYv4k3vH/C5LWeVbtCGN5P95Hd9U3yAfqamU1fD7PhjyLSOt9mAfRy8JvC1M44Tt4BGTou1fUIar9CM6rWRiXneSoJU3tNQjXP1F1jFq/Hx8dmNxCT68kQmuRSIoyZ5oJYtQ9D3tf9POejCHuZ41lPnPu3JZtPT8eMKkoAoqAIqAIKAKKgCKgCCgCcx2BxK/k5jpiSXx+rSAWuoNkYug017a1Gs06q81k9z/78svGP6Xdnqn8HAitH9QfFy7WI0lDb5/8sP6E/AUWx4nQwnkChO+vsMAOle4hv/wWkYGfh3/UKyorpB0NSHIyNYLgPIN8OLRTkm4XgzArw4K3DAvaEmq3BvNSEAp2uxh1BWh3/8nT8kpIkKxop7UqLV8ug2blTAsD1MRDgC6IM6BNtPOhdi+16k5BC5WRwhn8Zg1IpamYGIc7Hj8G/CeeB5JGbqFPylfaO2VvZ7e8u3ZJUphe2/mRNCGpaQkXm7vrbJl9ftJwClrnh+RUCInzapief3H9OkT4nn2Cl2Tt+/DR5b21S+Ugrnsz5lqEczwPJHQWzne6hGQUUyxpGxyU2w8dk65ix3WJ+XgBchH6qOLDvZOBezQT92wG6u5sOSdfKy+XNPi/pI9KfpCaKTmAd6kXIUGahnlngXi8Fhg/NegEi7N9SZCSCDWEaFBrdAA4mTrk0609ys8uR2DKz+QWEqPUGCUZuowJ7geYLwqjDevuNxNlq1EaeqxekOcH4CKHv70+uOlYnJstK+j7Fvc873vef3ym7b0YWrbbzEOT7ctxuM/moXPQbUVAEVAEFAFFQBFQBBQBRWA2EVACdDbRT/CxGWE8knCPNet0t5kt89pfNzVHJT/tHEmC0tzzMkRTn4rs6eyEaWuzOItnn5NjQT1ATSPgNoxFG+W5Dm8L96nMZTJ9SVouwHxNwpzLTNnJLeHJOpqae5XKnPgIp4o4oyZ7nUesdhcUF8k+EIBeJB8ERF2+1SX20iNym32dXXI/zIzpKsEt1Mq8BqTd66AxnAhivgvkCon+UPLTfUxqhP738ZPy8VXLp6wJagkKkhSWqGCdJTHc5AZJTasx5s5ZZjuv8uk9++T7x46Hbf4oPky88Ptn5H+3XCyXQMM4GYS4kOhmSib5+ekm6QKRZcWPefrx/jL60SGv/9NodKK4WK7DRx0KCVASoSTIbNAed9nuY91UhZHW45FOzItSCRLc3Zdvs2zMmyn0KxTJ0dtWLjfv8lOY80kccztI69P4aEXCdDrJUeJ9GMdjcgtN6UmE1pmUaXJu54d5Vs7A+mInPkA1g5BEN7jjyJaNeNclWtOblhq/OXNWHsNzFhrkqxjk/tuqK2U93CUk4rq7sWCZ74hC+Mutq6sL3aXbioAioAgoAoqAIqAIKAKKwIwjoATojEM+fQfMw0J4BcxJj8DM24uQMC3FAmimpQ8LVBKSXmVbW7tnApSLPZqln4TWZgMWpyeDC+N9/QMyWAoSlSvNJBKizwAcC0FeLjS5z5CcTtmpK8U+aukkWrjYfhgm19YVQLTxM0H6rYeG1mzIRSUl8gR8xDbjGsaS6yoq4iKBI433YlsbNBZJIU0Ukgi/hRuFJsznPTVLDIk4sVXkGks6WsLxZ+dOyxngG0jPREo37hRI3lBfbwSaWrYcwC3wf4PD8sXVq0eJSx7FEpF2XOa2bPfbOuYzLfeePBWR/LRz6cYz+/5tL8vT114lJGVUwiOwvZ366d5lOwg2S4DyPskGycYUTfgOdROjtsw8tEzT7HCSg3dWPJKDdx9lE/w+U/PWiyyFNvoa+GSlbLBa3yVF0git3W2t7XIYz2cHd+J+8kFzuwfnz98DujOZLqEp/V58MGESGfPpWQ486jAPEqMkRI/ho94epNCnke/jqxYukDdWVSTk4wqv5d0nEogDrwAAQABJREFUThq3GuHOuQPE851wl/COJYtlS4yPDxwr3vcHSfdI90i4+WidIqAIKAKKgCKgCCgCioAiMJ0IKAE6nejOwtg311TLF/cd9HTkS8qmL8hQtAlQ8wUckmfhgjZUGCiGi9kjWGgeggZNExa1Z7DYohaQ0YYK7YDF70wLj0itzHIs7pkWMWWkm5wE5yLso2ZnvIvKRJ0HNY242H4SprKx5HUwpZ0O34exjsv91LJ8f22NfPdY/QRtTHf/KxeWydYFU9cgpInofXAPEEl465KofAlmvitB1ly3uGpUS5Ikk9WUDGdKyn2h1/u+E6flXGFxpMONq/9lV498DdpaljAatzMJN0iafAVm716kBebdP4CW6F+tXuml+bxsE8nFSSQwuvGOjFd4f9J1AVMs4fW1mqNurdJaaGzvO3V61ByfJvmhZJ977GVBre3NCH737LlWOQHN/2iC7wXyFjx34aQKmupvXlwZbpep6+fvBD6Q8ffjYRClR/G89+N9TEuA6dIadYLjDcjzox9x8N7HB7kc/7DkYi7unO/jTsztFnxcmao8C5KVPoVjyf24VstxDRaFkOPUzKXm6F5ow7fht5ba7wwwdynI0ovxYSr0XRbrOLpfEVAEFAFFQBFQBBQBRUARmE0ElACdTfSn4di3LquVn51qlN1YsESTsqxMeS1MeGdDQs3wos2BZFMPtOCe6OmTE1gUHmcCyXkKi8bp0+OJNqOxfaQH6POtAgtnEw05mJPoJOFJrc54TNLHRp5aiebSJBBIftBXZQ20pLIjEMDUNOJiO5ovUBKL15YvnNqkptibfj0/BnPXh6Ah9RK04Nz3EH2Evr5ikWzCgjyScKFOcpLJXbZ1zC1h+ZOj9XIqL1+MeTEGJNk5jP4mB40TQNnK9/oH5c+XL5+0thZ9Op5D8ioDuLb0R7oCke5nW3aDWKnv7TVR6qkdvCTX0cZzz4vvIc7XqzyEAD9KgEZGa3GcPngXT7PbCj5LWdCuZHLLLfkF8n2QoKPvaBClGUiOf1K/ZOILWCbu5Uz4J90CTfRKmEkP8jlA3fvwseM/4A/3dIT7huTnTUuqJ+3qIgfP88ospkx58vhxqYEPaAp/a+hblG5SmPp9GcF8eohRkq198B3KNCrAiOb+J/Ab1wK/1FfhuVoJIroIvyXxCsnpR2H67kX4QfJxaNn/ETRBrRzEB57/PtEwzlXNEBrW47eY6aW2DuMrN5rrHTuW5oqAIqAIKAKKgCKgCCgCikAyIKAEaDJchQTOgZph91x6sbxv23ah+WM4qcjJgkZdrczWwiVSkJohEJ39IBSpjcPFJ3MuRLlQ/DIWWzMtpLnoc5MRf6tAJFZiblVI3CbhyUBDyaQBQ+LzYRBI1KDiQtWKD4zBZdDYoSksiVBL+lkT7A+et1aeh5uBB7BY3t/dC9ICpo5odx78B94ELaTLoCVq+3BMlnneNnHbSqQy97M9F+VWQrdtG+budu7ypRtgWAqzWwZZ6cP5LoYf0zoE8mAbjmfHCFc2Oz3899t9h6Ql21uwpzPQHqOv0PUgcSYjk/EhSgJoNuUX8EP5pf0HJmjpXQE/vQxmxIBBVujDNx6JpfkXz1ip1HZ/V5c83dIq1IJloC1iuc6Foz0XfrT6jwi+VG0bd/6aWfrIxejzn1yzakz7F88mPyIYfVS8P60sxLn+/VWXQavQIc9pLk0idO3KFXIPzvPh06flLAKEMYp8Pt5LG+HihRhUxOm/2B7PnfMjSleQ/GQ9H6tRf6NBn6Ss5xtrCO84/h5dhGN34jzqQVCSpPT+6YIjeRCMbQnYB+Hu4sGWNtOJ1gIkQleBtHXyDCl14Rhu5GZYWnRgjl7FHbiKVhd3Hj8x7nckdBwGh7vreIP8aV3t6Ls3tI1uKwKKgCKgCCgCioAioAgoAsmEgBKgyXQ1EjSXciwOf3nFVqHvvZ9CG5QLmwIQdhVYbG6Ej7QtZWXT4lPS6/SplVgMc7t6LD77MC9LdvpdRJrXsabaLg3EGTWRsrHwzoI2UhZM6VeBIH4PzCtJcmZiQZrMQhKTZtVDmOcdBw/LIWhN+UHeUXuRhAMx9WNpv2/QL0919shPLtsipdZfnuvEaHR8C9IAzr99aFBKca9MZ9Rr16HjLlLX7NIw2oZxDxShQ9OAd41FDtEIs9b13izYJxyR/i4Z/IRkhRehn19LFnlpn+g2X4U5+x2HjoQd9mkQ73/w1LPyX5dslqsRJIoSry/I3ElouoWdTIpUUsvxr3fuNmbGoVO+Gh8evr7x/HGatQy+RZ+41IKOJX+ADx7hSNRY/RK1/y9XrTC/M3SBQJclobIGHy5+cPGF4+5nvs9y8Wwzfay0VD62+UKjyc6PHiSG+TYmQWrTAJ4bmt4zZx19lHoVHwbjxwTXt6KwXXlMErBMb87PFZrYUwI4pybM6xhIRhKitEyox1xoXj+q+WpaTv2/s3gvn/UPyLOjJvRwr4J3OwlRk+BXdDXKblLUHUzKywxsICq2ZbAt90e0SP0PgwTdCU3wjXBdoKIIKAKKgCKgCCgCioAioAgkOwJKgCb7FZrk/Gh6/c6lS0ziEDt37jRRgCc53KS79WLReAQLQ/rqPIzFIcvUnPFnQ+MneiyOSR8ztCP1E6nZ48PiOBskpyE7saBkmeQnF7hueSPMqZdgQTkbQs1FEpr0v2dzkgJ2213HstV0/OBLr8jj6ZgzTE8jyS4sVj8OsuVOEFSRJBsEVIXPm/ZjpDFSvb4IJqnUxPMqJVlTu1feXr1YvnP0mKfDvbmqctaI6YeamiOSn3by9K/4AdyLT19zlfBDzAXQjOXzNZH+sj3G5xdA63i+CLVj3/j0s0It4nDyBHxBXvf7Z+XXV26V2ry80Sbfu2ijvPnp5wzxPloZUlgNFwlf37A+pHbmN/8CbiveAn+cP4FP3e3QMu8BYUgfkvQpzHovLkLoe9jtfzhaICerQUpCNDSFkqN8d9JFwMkIpvahaPGD0KKssR8tam8vxtyYrnB5fxgEMcrfOJKiR/GbZwnSNjwbiZRWjEefomN+RcW4XVkd1BQtHQmYj2B0PeBFrF/hdv5O47fCq2wDGa8EqFe0tJ0ioAgoAoqAIqAIKAKKwGwiMLWV+2zOXI+ddAh0YUF2mEGJsIA6DPM9Ep6noQ0zU5KOhR7JTZuWZvrkT5dUG7P1eizo/t2D6Sh9K24oHjPhTdTcudi2JCb95bnLltRkzhSv0AT7541NnrrRx+IOuEbQBWtkuBjg4wGQfV6E/gTXIyjRVOQjK+uEQUiaYmiBFoOU/+SalVM51JT6eg1m1IUPDd8+ckw+v36tCaryOpgNP+LRF+EtS6unNMdU6vzhl3dEJD/teZCI//PtO+SBKy+zVUYj9OErL5e/37NXftU4/j7lx56bgOHn4daiCERYMkgNyNtPzFBgK7cGaei5kxwlKdoP825Ljm7FB4V7EVwtzQNHyABNDAIUS7Lwrqd/USaRMWa0Eb+Nnz98LOjmJUP68GGL5u74ihVrSM/7GeG+BZqiz1hNUQRaysJ55+KZzEPKNUGXhmXMacnY0HXBQFSNHglh2zOSr1a7X3NFQBFQBBQBRUARUAQUAUUgWRCIn21JlpnrPGYVgZ4g2XkQJOchkJ2HsLhrxEJrJsSHY5PkzEFycmh2YuGXCY0Xt2QM+aQmqMm5Cj7pGODhpyCaIpk8MljQu+Hz0mpVuseKVebC2wYDsQSne5v7JzNurONyP/1+xiMkQZUAjYzYnyyr8UyA3oz7Zaq+dOlu4J4tF8vNz2+LSIKWgMy6C5q7s2X+fhx+GPfDlYZX4T1JApTCnNGoSYxGk+sqyuUNMNueD0I/vS9AI9KL0Jfz76ENehVM4q1Qu/Y/LtpkAgU919oqrXj/LoJri8vhOzQ0krftM99zvoPzQMYyWbm1pkZ+CTpwN+7PbJCD5vcE96nxBYptS4zy48PrK8ttt0nlVSBE1+CjnJsw5C8WSdA++ryGyxUnzxgXaG1SB3N1YnR7pg4b4R0fCvnbSULUkKLDQ+Z86XeW4veoMWoPEak9XQQ09CEYH0j8Y3gfXAgCWe9Ni5rmioAioAgoAoqAIqAIKAKzgYASoLOBeoodkyZ9NGE/gETCkzmjsE+3ZEMzphYakXVYfC5DSsOxHweByUjCXiRUsYaafUtBcv62+azsQ9AR6+OsHD4/6ReV5EFGaKfggawGpzW/JLnJMjU5mXNxPVtyApG445F428cz9lxoeyWIpvfULJW7EAE5mqyAxtTfrlkVrYnnfQwc9OjVV8i/HD4KbdDGUZ+gZSBN3lpVJX+5ajkCv8yea4ITIDLiERIfNjBVHQLX/AgE7/sRmC2Suff1IJf+9UJEuJon8tjZlrjO9HG0dxOgtjOjwt8AFwoqk0MgAxrcd116kdy67WVD0otLaZZ6mSREqcn5N6tXCL3a9uG+DjWlj+fI1yxaIPecODXahZqYuTgGk42oxF83RqOnduoAfv9oVbEHbhLi80w8eoiJBfzG9WNcptbg3iw4qbizH8GnAl1Sjv30H+3VdJ6+WUPlGRD8vwHp2Y2/E7rx233sTKtxhfEGfOT4Aj6IUCtYRRFQBBQBRUARUAQUAUVAEZhpBJQAnWnEk/x4JC0asGjZD60NEp1M9GE23XRnFQjE5fCluByEIslOkp6Mtu6Okt2KOT3tkfwkzOEIIwaweHftUkPOdGPRSb9ujIxuhURmDtpYotPmrJsuDU577Mnm8Wogxtt+svNK5X5fvuA8yYdG1neP1of1X3lpaYl8/6ILhUGMEiVlIBI+C9Nlpg6Q/dSgonZoMki8wYnoGsD9vFwEvJ6+5lXyn/XHhRrI1Cilz8EN8BH6x9CiJTEyn6TZmih7POkmmG2rTA8CfO7uv+xS+b/TjcZXKT+OMUL8cnzgoM9d/l5Y/5icAYMukQjtxYcnm7ySopsQwIpBCV9q64h4MiReryktlhsWlJo2fA98bu9+6QAzSrN5EpfUFO1DPuz67Yo4oIcdg6Ant4NkZTISNJ3Pg3ZoflBTlGRwOGN9PsNW+PfDjxF8Mdz5kdjls/8ctG3v23qJnO/qZ/trrggoAoqAIqAIKAKKgCKgCEwnAkqATie6KTB2O0zHD4BY3A+ik4mEZ28cJGO8p0g6ZxlIoxVBsnNFkOzM9bCQ40K1FlF4j/d400bbFCUyLYnOcmihMNowyU2bqNmZarIhzsAxG+Nsn2p4JGK+DM5CIpKBxO7Dgn4X/KwOwvXCMmgQXw8z7ddNM2GXSGI1EXisLSyUTGAy5PHd4CZF7PEL8ax/DJHBmea7FAGLeCTZ7od45p4KbUnWvw2atEyxhFr/TEUu37+hpGhPT4/Q52g4uWlJtfmw8Rj84vpDjBnoY/S18Jn76kXUN3XkLEjJPvxO85eJkeiLQcBaGUpLBxHqk14XKer38Ftq+0fLrel8ezDuE31skxA1pvP4KMp8IX7HLwuaznOsp6D5GY78dB+HQZbeC23wpxAoTT/GuZHRsiKgCCgCioAioAgoAorAdCMQ3ypsumej408rAvTVxci0+0By7gPpuXdgev125mFRSYLTBIQIkp5LsVDzEvk3EhDUyPkOAqxE8uNp+y2Baegl0DqjkOwk0clE/2+W9LRtUz2n+fBn9mZAazC6j0WeZyHwf1PV/PCzmIjruga+Yz+1bk0ihkrpMRiFm1G7fwrzfC9C36gqkRHYAncc3/cQlM2OQPcdKsmLQDhSlIGWSITaxOBLFJKt1Hi+DNd0Nz6snA0GP6vIzpH1CMDHd7RbBgLhiVS2od/rzKGAFLlIUZrPv7WuFpYbfjmAevrn7vP44cJ93NByAPPuzswyycR2wphLQb7+e0eXrIf/2TX4jafZuxc5hUBL/wMXI7fVLfPSXNsoAoqAIqAIKAKKgCKgCCgCCUFg/F/aCRlSB0k2BB7BouTrzS1Gw3MgAQuhcOeXi8VRERZqI1jMZUMzhFFnC9DwwpIieUNpUcJMhWtBYN68dKn878mT4g/Dgo7ARm9hQaH85cbzpRZ+PUl20ox9LgujPX9p/Tr5yCu7Yp7m585bkzRm1TEnqw2SCoH/t3aNPHH2nDAyeTShr8q3e9CkizbGXN/3uvJyBLTKERJBsaQKAY8YIEoleRE43N0tB7t6JACHGSsL8oUa09Z9Shl+hyjUCCUZ2o22zNNgQk+/07GkFKRjPFKM3+JXByO6s58JRgS3NrT0SKhbGxynAZqpDbDI+FXQKiOjsEjy8SEuP6gpymBLkeThpjNKgEYCR+sVAUVAEVAEFAFFQBFQBKYFASVApwXW5Bq0B2TkDuvbKwFTY3CiVdDsXI3gEEwkPR9GcKJQQpKGei+2tsseaIjcWleTsMAHG0GqVuWukN/BhPAV+FNrS6cJYKYsgvbM22pr5bYVdfPOtO6PllRLJxaen4GvuHBReenl9DMgP29BcB8VRWAyCFSBsPsJfPe958WX5GQE4u4amO7+++aN43z3TuZYc71Pti9dvrnxAnnn89vCPq/2/Pncsp3bB6Xdp/nsI/AcTL75zt3Z0TluMmsKCoQfm66FObsVWiLQbN6azgdgzk4itAs+R5nTnyh9aIYKXUd4JcvZd10RPz2OCf1o12IMptfnO/UMbMjgSrQGISlKi5CzIDOnKsP4Le7IHos4n45zzI6gwRpvYLWpzk37z08EePu17RfpPIaPEPh2lwvvEgsRby/bMRCan6DoWSsCioAioAgoAvMYASVA58HFZwCSyQpjmzMg0Zog2cm8BiZ6NjhRI8z6vhWG/HQfrxdaID+sPyF/vXql0JR2KkIfnQVYXC5FZOlrNm0yvthaYebHoCv5Uxx7KvNKhr63wuyRBNT3j9XL01iYt4D0ZoReahndtrxWVgE3FUVgKggwWv2T8N33X3ief93ULPUIZsRAYutRf9PSarhXqJzK8POqLzVl70YE8g+/vFPOhdGqLYVm979u2iBXu/xBziuAkvxkf3rytHx0x84Jfjw57QPQ8vzjF16S289fJ3+yrDbsmaTjuSmEpigThRqi1A4lIcpEE3orr6tYJHfWN9jNiDlciMJ/6BjpGqlhFkjR82C2zmSlFcenH/B9cI1DQvQgytF1vW3PyHkA59iHFE7yQAirKALTicC53SJ770TwsLPjjwLXuVLzOpFVN4qkT+1P0vED65YioAgoAoqAIqAIJD0C+tOf9Jdo6hOsgdl4KRYhbdDGiCXl0ExaC9JsLYhOJvrv5GIpkjwEM7ZQzc9wbbthgvfY2RYTVTfc/kh1GSA17SKRxGe4IEUk+VQcBFbA/PIrF6xXOBSBaUOAxMWfQ8uaSWVqCPCDxfOvfpXcCzLtqZZzhgi1Hy1uhFY3tf9Ukg8BRnL/2I5dYclP92z/3+59woBgF5fG9uFKDdFiBKhjojCwUmdnpyFDN2DftTAz529oNHnHksVSAZcJk5EyHOPyXKYc030YWqJHjc/wQUOK7gUpemYSWqLUAiURGirhAqWFttFtRcAi0Hlc5NTjIh1HRYbhOSRngciiC0WWXA0/72Fu+abnRXb+G3pPVKoWuM6V4w+LdOGbwuZPgARVLt7CPCfyYcRJPYl7pWWnSH+rSEauSPEK3CvXwg++uiefE9dYT0IRUAQUgakgoKurqaCXQn2p6fF0iNkqTdmp0bkuSHaS8CzFIsirDGBhsx+aKl5lR3tnTAKUASLyod1J0pOmgvThqaIIKAKKwFxFgFrx719WY9JcPce5dl53HDwsJAhjCT85fvXAYeM6Ilbb0P0MrLRgwQKTaBpfV1cn1YcOy704tls7lP0W4ff9DxdXyWoEbUuUZOC32Lq5eWtw2BZoie6BZQFN55kfAUEa67Mq/YD2hiFAb16qTESirlWqjcNHpx9cPomqbLjBzYpy25KsPPhjEJYPjT/L3iaR1j0i9Q/A1/xHQXAtH9tP0mv397Ed4xFt3Sty7JciK/5wrK+WUhuBtoMiO/5FZHC8VxLjAqHhdyLL34zrfQOD0aX2eersFQFFQBFQBCaPgBKgk8cupXqSAD2KRcu6bBKeWYb0pGn7VCKyn8MCKEwcooi4dECjZRCkKU1m3cKFHslOar5Qy5OmgSqpg0A77qvt7e2IQj8k5Qg4RZcL6rMwda6fzlQRUAS8I8CgQr+B/2mvQnck9MM9FRct/DDI38b3brpQbt64QZ6B+4kjZ89KAH5Dy8EQLcWHQraZblmID6RX5+WaxGP14w8ABlfag9+A3fh7gFqi/SGkU45/WHrxG++WP15aLVs9BIBy99Fy6iNAH5z1D0I771GRgfax8ykCebn8LSLlm8bqbOngjxxtTbsdmg+0iWz7R5GtnxPJr3L2nngEwb/ohN6DcD51b5qfpvBdJ0R6QCTTJUAh3MPnVXgALImb8Hxe+idc+0i+O/BuOvoLnABelStBgqooAoqAIqAIzE8ElACdJ9f9HYX58vaCvISe7WTWW3aJlgezfGp5lpSUqJZnQq/KzA1Gv4Vf2HtA7qMPWJc2VD4WyR9cvkw+vmqFZCqZPXMXRI+kCCgC044A33v0a+1V+G48DV/ZifLBzHfq1dD2ZKIMg1zt6Ogwib5DwwVS8jrXeNvlwOnoRpjcM1F4rk8i6OGPYKrfjt+BHgQnDI0EfyPM9P9R3bTEC3XKtx/sFtkOcqqzfuKpdB4VeeWbIsuuF1n9zrH9bEtT9Vjih0n8vrtELv5bp2ULfH96FfZtPyxSttZrj9Rvd2Y7tGpBLPc2jz8XatGueZdIyYrx9amytffOKOSn6yRIglZtBWG+2FWpRUVAEVAEFIF5g4ASoPPkUlM7JNELI/qq82EB5MUHKJVC8uGfsq6mxmh7hvPlOU8uxZw4zVN9ffLWZ54PGw28B+TAHYeOyPOtbXLPpRcLI16rKAKKgCIwFxCYTPCe3Dhcy8SLEf1kW1N5BlKi39B2aOSTDGWk+ZkUWpRcW1IkW/Bb/9S5c7Kvs0tO4W+EDGiobioplnfVLhUG/1KZfwjs/HZ48tONBLUxqYVIX42Uk4+bzNN/NGcnocf+1AqNR9zaqPH0S8W2x34lcuje8DOnf9UX/0Fkw4dEKi4O3yZZa6n92XHE4+ywIDn5JMheF9nusee8bDbUI0Kfuh34UDDUB/+7ZSILNzhpMoow8xJEPWlFQBFIKgSUAE2qy5Fak6Ep+wUwXX+lvSPsxEl69sD0rSMrWzpBln4UUeAXLlwYtq1Wpg4CJNJve+mVsOSn+yxo+vmFffvlH84/z12tZUVAEVAEUhYBmrIvz8+Toz29ns6BHwoX5+R4ajvVRgykVIqAS0wkP0mGtra2GjI00R9Ao801L8Mnr68oN4mm+ytXrozWXPfNcQTO7oC/ThCUXuTQfdDOuwKBjRDb0jOhFRyYBB4J0Mx8EDXdXo7mtGH7+SDn9kQmP+35j0C5fdd3YRJ/O7Ast7XJn/PaxyPx3lvxjD2X2jY+B+3q/4KlQcjPXcNvRYqWgSz/cGrdJ3Pp2ng5l8CwSOMzIs3b8IHojOPqo6hGZPFV0Hpf52UEbaMIzE0EVDVrbl7XGTur6yrL4e9x7DYi6dkF0vMkAhntKymVY4VF0gq/kFUwef/z5XUzNi890PQhQP932yOQ3qFHvfN4gzSGBN8KbaPbioAioAikEgLxBPChv8v0WVCToS9tuphZvny5nH/++bJ06VLjdiaVcNa5zg0EmqE95lVIXLbuc1r7B7z2CraHOTulZLWTe/mf/i/dAZS89EnVNod/6m3m9J/K4FCpJMPBa+91znR9oBIdgdNPgwz/t4nkp+1FFxUvfBG+oBF0TCX5EKBG/LOfFtnzA5EWfITqbRTpbhDhdd32FZGduLb0y6yiCMxHBMaYq/l49nrOU0aA2i2MYJwGH2CNefmyH6RnPUjPtuwc8WMBRmGAhnu2XCSFCLqkkvoIPNyMz4gehT7hHkWwDhVFQBFQBOYKAh+oq5Xziwpjng41RT+2cvYd6lEzlGbyK1asMGTokiVLhH64VRSBmUCAgXbikR4s1Ck0tY1HcoLeFWpe471X1eWOxqj3HqnZklHR49F6PPNyYs8Tsdqk/Qi00aBRSB+k/ecSO/5k75XEzmLujEa3EPSpGkt4X3lpF2sc3Z9YBAZwXV78MqwwT0cetwnPIrW9VRSB+YiAMlLz8aon6JyzodlJDZN1ZWVy+UUj8k34ffxFY5O0IiIsZUlujry9erF8eEWdFIVEgU3QFHSYWUCgobcvrqMej7N9XINrY0VAEVAEZhiBHBCK9G/8vm3bI2rDrysskLsuSb4Pf/QZSlc0TP0IznQOvjrpM3RoyGPY7BnGWg83BxCw0S89ngq1MikLLxzTBnVqIv/vQxyu0jXO/iIYGy17IyLO/zpye+4hYeoOuhS9dWrv7YuTcBzqgnYYNHCJ61Tl5BMiR+6Hb1aQam4pWy+yFkGXChIQjGgBxkrDinYEJr9eZNFGL63mbxtes4BH7UCjXQhtQ7qfUEkOBA7f680X8pmXHPP4VPP5mxwo6yxSGQElQFP56s3C3KlJQtKzDKRnPszcrVSi8BVEdmXqwEKKwRAKsNBSmXsIxBvQg1HhVRQBRUARmEsIlMPq4VdXbJX7Tp6W+083ygEGHYIPmFUIAPRWRGh/J0zfGbE9mSUHvkmrq6tNor/QtrY2Q4bOpL/QZMZH55YYBAqXOAFUvI5WUO20XHINSMwHRQZDiLNw45DwdJN1q/7I2T76fyDFoH0YKkXLRS78C5Gs2IrcoV2nZZtarww0030Kw+M9kl+FQESXwhfn0sQcjj5V4xKQ1umZcfUI25j+IxseDbtLWuGT9PnPiWz+BMjrONwWhBuNflxrX4/75YFwe8fX5SAUweIrx9fp1ngE2vaP34611XZACdBYGM3U/mF8uKDfT69y8rHUC3rm9dy0nSIQCQFlqCIho/XjEGAgA5rQFRcXC32LRZNi1faMBk/K79tYXCTxmMFvQHsVRUARUATmGgL07XkjiE6mVJciBDRkonk8iVBqhvb1xaftn+oY6PynB4HKy7xHdM8uHdPkzMgBSfkRkZe+6mgjRprdQmjzLX/z+L10u7virQiohGPT513nMUejjeRX+WaRRZugMYg2sy0Bv8jBH4mc+A1mAuLTLUd/4QQrWfceJyiUe1+8ZWrn+YCnV9+XhTXAJ/qf+jGncOrJyOSn7Uwt01e+JXIlrvFUg1GtfDuuc330gFsZ8Pxx4Udjk7sMHpM+j1fI8QQR47UchO9eleRAgH4+ef96lXgDiHkdV9ulHgId+J089YTjLoXvZlpJLIIlxpJrxn9gTL0zmzjjefx6nwiG1oxHIAv+PRlNlsQnyyqKABF4x5LFcgfcHQzDv2csof/XKxfiDaqiCCgCioAikPQI0MrDmsj39vZKS0uL0QplVHkVRWAyCJStdbQZm1+I3XvNzeOJp5KVIls+60SippaZW6jxuewPQH6+JTJZx0jmK9/m7pVc5d3fczQ/I83q9O8d0/HNfxX5HCP1ddeTzKPWI6N3e5ElV3tpFbkN/zw8DLN3L0KyjQTwij/00jpyG57j5r+GuT20fo8/BBJoaHzbBeeLkEyOZKrddQLBn+A24dwukaEe3IdY9pSsEql5rUOajx9tbm9llyCgLfDwKtmq5+AVqmlvNxznd0sSXSrzGwFaSRz4X7yHHxmPAwNpte51LDH44WguBQzEz4WKIjCGQBo+iRcWFpoFEHNuqygCbgRqEDzjb1avlC8fOOSunlCm8sBXLzgv6c1AJ0xcKxQBRUARUARMoKSamhpjIk8/oSRDVStUb4zJILD+A0406XO7I/TGn5pr/likEmbfoUKT+Ev+HgE9msZrppSCWM1IgI/K0ONNdZvzpBYWF5Uk2wprw2ub0uSdKZaQkGt4DETca2K1jL5/BYjgswhuFCsAEUm/6muijxVrb1e9Nx+EdhzOa6oEKMciCbrqHSJ1cIlAwpznmpGLhftKXAuQ4ZGEBOz+u7EXxK0V+sCkmT4Tg2Wtv3U8OW/bzcW87DxEDt/p/czYXiU5EMiNU+ck3gBiyXGWOotEInDgnqAVQoRBB9pEtn1VZOvn4J6FPg/ngCgBOgcuYiJOwQZGoG9P1fZMBKJze4yPrVohff6AfPMwwnqGkRy4SfjWhRfIteWLwuzVKkVAEVAEFIFUQcBGkac1SE9Pz6hWqPoKTZUrOPvzJFFJ7bzTT4HM+51jqsxZ0c/kggscLc7iuujz5MIrmRdfjHJ+4H9A0h4dfx65+DNo9U3Qgr1kfP3xh8dvc2tEwJqCDHZysnEsBeTIIyOy8LIR4TMXmtza2e5n0papyMBE91WrP5wme3+QJn3NqJN0SRvBp2qk9BGfKZeuTZONcDuQ7ps4t3hq+lriaS3Sdza+9rFak/Sk6aYXaXoB5CeuWzShT0Waz697d7RWc2df9atE6IJhuDf2OdHFhZJosXGaqRb5i0VyQfb3nfF2RK/PibfRtFWqIcDfK+OCJcbE/dAs3neXyMWfHN+Qvz/8MM6/DWk1VFlZKfQvn+yiBGiyX6Fpnp/V9qTvL9X2nGaw59jwf7d2lbypqkL+s/64PN/aboJfMTDINYgufFtdrVTlJv8LcI5dEj0dRUARUASmFQEGP2Ri8CT6CWUaHISqlIoiEAMB+pQkscJEH3XD/Y7fx2Q0NLIkIxd3LPv9fpNz2ybW23LL7hE58GO/2ZZckJRpAaDBfEQ6ev3SdOeIVB4MgAQN9hkekfoW7C/G+GgD9hHjs094aQdWe19xSLjwLbzXlkJDUg46flEHOx3t1OwymHuvwPWoS5OD9T7hRw8qRjB3p0z4+CeRytzuZzl0/UDz8XgkfZY0eWkmbzQ/PUyW7gOWXJO4wFQeDjlrTeiP9YI/E3n5m5hC5NvSaDjPF1J41i7GJA5Mberd/x67I5/TZdfHbqct5i4CJx/3fm7Uhu9oxEszr9cQnpb0tB/bOFJ5eRRVe++HmvaWSoBOO8TJdwD+8UJNT/r5SgWWPvkQ1BlZBM5HgKM7NkJ9Q0URUAQUAUVg3iBA8qOiosKkjo4OOXv2rHR3d8+b89cTnRoCNFXOKpjcGG7i0RKQ4eq4L1w9ycxI+9zjeZ3dYBf8TkJbbiQG6dcATcO0YpGCJY5mnd/tYcpleh3puPTVRy3EqQqJaPplZZooIzI8PGzSwAAO6FG4ruA7gYmE6Eh2hvTmZkCzFORoANqlAZSZJLhNNVeXxNL+dTVNaPEcFvSD7d6HbHwaBOg7vbdP5ZaLNjraXnt+EF5Dl4HE6BZgqsGrUhmjZJ374itAVB2OHoSM74ENILkZ6EZl/iIQarHgRmIkzS/DGb0y5OuVYSaUdzw3JEUxrDXcYyRrWQnQZL0y0zCv7OxsQ3qS/OQXXRVFQBFQBBQBRUARUASmgkBxcbEw9ff3y5kzZzRo0lTATMG+JBndRKN7210fSjq697nLloS0eeg+bieT0EfniN/bjM7A1yUJUEZkJwERRelzwoC+BJCfEwZNUAWvFTXB3drgPvgSDRdIx5jkgxR1k6PVGzOlqcnROiWByjWKzUmqTpd0NcQ3crzt4xs9+VqXrRO54isIDLVbpB2EGgPs5JSKLNwAIrgm+eZLzXK6U6Bmb85CkLNJ+swM49sC58nPADRX98X4eDIZpNe9F++apQhG9lME9Qr5Nslrx4Bg9PerMr8R8MO6gEKyk0SnP6NPhtKd3J8+8SOYH89WOOFv2SDus+6TeO6qk//DyPT9qoRDR+tmDYHly5dLQYH3z+17O7vkUFCbYzX6rSsqnLW564EVAUVAEVAEFAFFILkRoEUJgyYtXrzYmMYzaJLKzCNAf1z0xWWJQuZeE4ksCnN3H7sdaf/Mn+XMH3FkOE1GhtNlZMiVsN13KE0yUUd/mvSsafxqjstJcwTrT6RJ+wP0x5kmxRjP34d9I6aXacOzSsO2Q42wHoLtdF+adCBKL6zqzbbhgNkuuG0KpjE7QGw5fUTSfEgZAZMLc5OCdVl+SctGygpIOnNT9jvlXOS5w06dHc8Z3dP/9HnKgFAMJuQWc1+lDUsACSqhUrQMBA00Y5vQNpKQELUaptYkn9ssU/vU7rdldz3rIolX4tr2j7e97ZfKObW16ScymX1FDnRAC/tnIo3PilhCh88AgzOtejuCYMG9QzJIz2mRQ/chGNkreGKDH03oB7n8IpGVmGe0QF2Tmf/SVzsuR9rg8oI+QXktSX4mI3k9mfPTPpNDgNr9/GBt/lZY0CdtA70SSI/AbIYcItRyg5YJvJ/5gYTv+nNdsFTAnxGlq517unRNyABJsqkEaJJciOmehlfy87EzZ+Wze/fLwe6ecVNaW1ggX1y/Tq5auGBcvW4oAoqAIqAIKAKKgCJgESAxQfN4+oKijyiVmUWALgmaorFJCZgOCThqMPU2g3DAAoim2QWLRbJLEjB4gocgYRno98nIgG80HxlEGdusM/WDIDVRN2JzkpzcZ8lOEJ0kIsOJd9UCp/fgASfnAszzIgwLSn9buKPPRB3I0hyHDE1HnpY3LOl5Q0jMbXJtow0lq0ik9g1O0KtIwXRoSrn4ytjnQLcFTPGY5dtRbQAo5nw3WZKUeWe2T7pznSBQJhiUwDouAEI1DVcGeRq205gbctsneZWRyVR7PM1nFoGukyIv/VMYVwZ4R9Fn4fP7RM57H/y3Xj2z8wo92tkdIjv+deIHAWqrNj3nkEib/hKkLbRuEykkPReACBYmlXmFAN2ZkOi0ZCcJT5bth0yCkQEt4UCUj09uwEjWU2PZygB8SJ94eKKGMT/MteF37sUvi6y5Gb8Dr7c9kif3/NubPFOOPhP+ON53332ybds2aWtrk1WrVsmFF14o11133ZTNvn/961/LXXfdJZ/73Odk3boEv6Gin9aM7L2z/oT83e69YY+1v6tbbnzuRfnahvPllpolYdtopSKgCCgCioAioAgoAkSAhIPXj6+KWOog0N+KaO5Pi/SHKPiCC5XCWpGqy7Goypme86HWVKAvw6SRXuS9mUjOtlMP0rIf2yQ8mfc5hNb0zGa+jArNV2DpZ/Jyyj5ok+aDEM0fFh/yyrJhGcgZkv6eIRkaHIKv1GHJXjgkxeuGpRCL7+kWapySPKWQEHBLAMGfBvLBbY+vdjcZVy6sSJOdO0GLujRPSaS6kzHxx7svtI7b7n0c2G67c3c95859ti405z4vbcwAc/A/BlJ7+Y4w5Kf7XPHxYO8PRfIroZU2S9po1IQOR366p0nN1Ve+JXL57TDfx32pogh4RYDcl9XqtGWSnfa9F20cPhN0cUH3FrGEri9IqFP4W8zAcKHuFZy9wf9BhB6423n22DeZZE4RoO3t7fKhD31IGhocpy70dfnQQw+Z9Mwzz8hnP/tZycrKmhT+u3btkq997WtxOwaf1MFmodP2tnb5+wjkp50O7mP55K49shGBbxj8RkURUAQUAUVAEVAEFAFFIHkQsITJdMyoD6Rn/YORCaOu4yBGW0Xq3hQfCUr/YYHuTPEjBbqzkEBe9qCM5De5sz0CYnPMvns6zlDHnDICfmjcdmab5OYVszEwkxGw5X17RmSAGqRBstRolYI0Ndu2Pqhhakzzwyvg2hEnlfswoUVYmJ/ZHrt7Pvza5VWNQHuKCTdsCoklWDllErE2Z324bdveTdraPra9bRMuZ1vWO4I8gOPEwTiQ1KWEy911DY+OSBv8Dqbhg0sALxEeEw4/kAf72ilgrG0/GZELbnMq7NzcuftcWc9tdyLpzXqbmwl6/O/I/ZgfzINjCUmooz+Hsub7Y7XU/fMJAb5v+AFpeGTA+FmmFif9LZPsZG6ficlgQq3OJXCVcOIR3KNRrODpNmGBK+Yx3SoMwvWEFznwI8dvsJe2M9UmjtfRTE1p8sf54he/aMjPLVu2yKc//WnjlP/UqVPyqU99Sp588kn553/+Z/nEJz4R9wFefvllQ56GfjmMe6Ak7vC1g4fFy8+5Hz9KbHvnJZuT+Gx0aoqAIqAIKAKKgCKgCMw/BKayGIqGFknKk49FJj9t3yH4AGt8RoT+56wEeqA92AUysxPkZleWybntkJ0kOrkccbEVtqPmcxiBtKAGL1bgcKcQVdJGHH+k8ElqzO6Z0z8pTfPpt9TkwW2a6bMuE4QYfZzGsFpfAAKUPiQ7jkSeATXyqq+OvD/Z9/CdYN8LM0Hekr8knu0gSegqg++OjFwnKM9CkCh0j5AIOQrz9gGM60V68fGmAXMKF7WewZOoycZ5ZiHkBUmhaGKJULcmMMt2e5yrBTi6OLUTGukZjjuF9BG864L+gsMdo+lFBCh6HwnkcHtnto6Y9J1zgjTlLhrT/pvZWcz9o5FfGhqChjwSCU3mJDdb9g9J045B6WqG5jw0LtOhw1eADzF8hnIS6JGQvmf50ZI+dHuhrewWPgs8Ht+T7nuy85i7VfRyzykER0Li3JNF5gwBunfvXnnhhRckNzdXvvSlLwmd8VOqq6vljjvukBtuuEEefPBB+eAHPyiFhXi7eRA6kf/Od74jP/85PsdA+CVoJn44PEwtoU36YBryZAvecB7l0bMtMoSvEZnBr4geu2kzRUARUAQUAUVAEVAEFIEURKDjaGRztzRE9fYFsiQ9kG3ywL4saT2bLSMwUfeD8BRoBapEQQDBihAWHWQdcpB9DA40VnY02my9yUGOpLEdSRImFEfFluGz1CjSMXCTH2XmCLxkrkUEf6ajYyRbAfOluwPh/eR9ueKcBUzyR8lQkqKhCRE7ilCXvSAgvS0B+LRFALA0JGoSIjhUwRLsXxmQQMuIDDGAVDColBNQCm0Y8YN1vA4qRous4TEEwALh4RZqN5IQJTFKv6/Fy917x5ct8UbXBJkFjt/BcPh61UCzo7O9mwAdgovqs9sxp3o8QkF1ZRLm1PYt3xSZZCKZTNLKi2LUYCf8IY5Tf3ZmY/3LkhBNGwE5ipQezE8e9Ul2oRPcyxKrllwlF2HLVoPVnl+i8tb9CCp1P+aN62XfLSSwed2W/yFIYlyTZBH/IO6rQyDC20Gywxd1yUqHxJ7t+dH83BKb7rK9byzZyW37ccLOmUT8qadEOvGsuIVaxCQeO+tFGGRuwXr33qmV6b972fXAEfcr3dtQG5TPSh5cR4TT3g777EX5XelpVAJ0alcoQu/HH3/c7Ln66qtHyU/blKbwl156qTz77LOGBL3xxhvtrqj5Bz7wAaNRmpeXZzRH7777bjlyJORujDpCauxs7h+AWrX9iyn2nAdBfp4dGJTFuQ7JHLuHtlAEFAFFQBFQBBQBRUARSFUEuuszJGMYBKefJKdNID2xjSX5hNMaPj2hKgUqHNIrLROagyC/TGI5A/WGOAtqFrJM4ov1yEmWtR2EmWK7Q56RNRghQQnbKuaZhSNSdeWIZBU7BNoo2WmitM88LNQmGhmCVhqDPjE4FAM+BYNAmTJcDQTg83Mk6G/V+FS1vlfRLqUE5PsIE84nlkxY1YC0E5BmnXti9cT+9OC15T1B0hWkqCFJSY6ybOtc24FhEGn9jkl9eibuk2KkArZFHzuebW/ulSDZyvG4jWOZHGM7feyxbI55zPC3h1NPTiQ/3ejx3jv1e4esol9Ot5DEanoe/UPeHSTfGIW+dK27NT8S4D7GeJ7FRVJTM/XEb/E9AL433ULyqbvBOYfqV4kwUFc4IUHUfRJkEeZMkjC7GATPElwGkp1ucR3TXQ3PtFAE9eMNgYFC5AwIKB806WOJ20TfTYy6693m/OHKrLOJ/U49niaHf4Y6uC0gn8U6fmUZGkiT+t+JNL+cJpv+Guda6fTjHNl/poVau3QXUP9QiHsBTKVyixN8h9fEq1gtaSq6MXHblpmTxHRvk7i09ZbgZG7LXo8brl3TCxPJz3HtcL81o00mCN9I9+e49nFsZEM7mykw4Lwz/ed8MoR3P93PmN8E5tjO68D7FL8hhsAPILgciXz8JTCc3hv2aGlJ9rMR+9cg7GkkX+WePc6vE83fw4klQHfu3CleCVD6FH3DG94gt956q1RVVQkJ0Lkoub74fx0n02cuYqfnpAgoAoqAIqAIKAKKwFxAgESXH+pKw0jM/W05Trk9W7KgQQhdzqQXQ17SJDoHJtG5Tm6il9MsGsmYTNsyzaVpJm0SyCISm1hAUwONGq99rQ7BQrNYBnjKq4h8+nkgaOgDlRpu9INKUoSmvkXLQNysdsiayL0nt4fHoTYQiSOsPg0JQ806avNEEy5G03xgjnD+ONtoTSfsozapCTxlglDBN6sNRMVtl79WlkmqzhtBtHiSZ4QTlz4uwaUzfaDgJUyJFcxmHInKbRKjIfXcNomEli2DSOXkTEJdMB+tCznTIXAfIyAvvSgItv8S5GMNB4RgaAY0IvEJ5duJ/XvwbIGsHADpQ1Nsy7cVos8ogWk+ODiDYbigBEvYx3/+gyAtj6EEP66t+/FBYsh+qHD28+AsUcsa9Jc0/25EfK+CdvBC4EXt3+BHj/YjAeM3NtSvJ82FSdQuON8e39Gio+lyaNuxFuNLJHsnkKjjm4xuWUJutGKKhS4Qug2/wSDQ/IsoIB7PfldkxVsBk+vxtiQq+9mymxh1iFRnVHfZtrF93Me1+9x1LFNb99D9DgHNH6U0JCu8cu27R+Tol0VWvgPXGO9gCrGympZustOW7T6n9ez9z3d62z5vx+fHgoKleGzDsHnUazMfuPhhi6QlP3LZfADvaruNOhMwcHTbITsN+x1lGi7IQ1oFn+mQ2mQyf+fUwkAWMuMU2aSvT0pJSfhffVtvAyR5Oa0f/vCHUlER5a+dGIMcP35cDhw4ELZVdzf+ukoSKc/OlqqcbGmEJqgXqcnLldJJBpPyMr62UQQUAUVAEVAEFAFFQBFIPAJcGAXgi3O4FQRnKwhOJD/KzL1oySV+RjFGBBkxGiCnANHFGRjH+oLMwzZ9Qdo6EJ5G2y7GkJF2E5uzO0RaXsHikWSWS85Bz4KLzeqrwhMUJGVIdjJNt1D7qek5x/TTfSwqjbXsdKJdUwtqOrT/iK+vcMgk97HDlWlyb4JbjZKjTmCr8UGuHE1TzDbcEFo3ZQSAK10gkOuG4BafVpmgRRvpaGB6+/eO3xmqPDl+L7bg/mDA5QIBfKMweZX+7WMtwTN6kp5fg5gN07LUaHdTwxuanKNluFF43C9DLwdgRs8PKyBNoUFekhuQnq5gW7Yn0erO0d/e/sUrwhxshqrOvOjtQDR/pnl82bqx9pZIHKuZvlIj3n1tTRg/CotFlwsHHxTj29IS5lOdEV0mtO7D/YBj+zG+DzcRtZiJg9u1wlSOww9oafQRa9whMA+WoV1pXSWM1vX6pO3nsL+Af1lq8o9p8+NjDLZHb6qpTCgBfYtX4uNheQIGSuAQUW6dBB5lBobq6XFeT5boDD1kUZHzCcC2C90fbnsq5CfHe/TRR+UrX/lKuKGNRmnYHbNQyS8sNy9dIl8/hKfOg9yCtiqKgCKgCCgCioAioAgoAsmFgNWaIYHnh+amITnPgehE8jOnQ7ok8cmZlg0yE6QmCbX0gkHxkeA0ZeSIDu5DVPA0EpwzxI2d2QaOZbf7esLM0yxAsfiEmX9/fbo0dvtk7c3pkpmNOkyM2kxMLNttd27rmVPsti2789Cy1UpiH5ZNjuu667vQc8JCvNjWgYLhP0Nvke96aUT6oN229l2oxY3AvqEmnNZ805py2pz10cQPXQlqyFL7i5qxbi2w0H400faV4LoiRRPeqzSrNBqkhizNkKHWTOltQA5Ty7Rhx8QyPQ05zC0F2pYqisBsIkBzX74bEN1o4jRgwt6HZIV3Kx6ViOI8vXgIYBKfsScgrYdAnmYHEPRmjER1XHKEbFNjnW2Mew6Sra4U5ztzoC2oSR5xluN30BelmwAdv3f6toahZdwWXrdswkHpy7L7hKO9P2FnnBUkfJue5csVib8J+OfvSJehpjTp3JEuC85LBxnq+FqGHbjjc3kI+ZBTN8Iy600dcxCWo2Vs0x0J6tLQZkEcc/Pj/ILfNuLoNX1NiYtb+Puw9mZ3TXKUwzy1yTGxeGbBH+v+fujBQyIFOCooKDD7GVVLZSICH1pRJ79qbJYDMTRT1xcVyp8uXzZxAK1RBBQBRUARUAQUAUVAEZhVBBruK4QZdpExYZ9dogiamyQ3iwYlHclXRKLTlrENopML9pkQEocMHMLozOES93Uf98mp53xSSl9mINiMtg1IjgkCNcvAyyK1N03YMyMVDY/C7H1XbM237pegYXcRApdcEd+0LDHKIB3Wnx3J0bb6YTnxKPITiEicBv93abD1zhqWouUjJmAMA5BMVqipSrKbiUJy5RTmb7QWcyaOml+RLou3YAnrp/mm27zTMd8cNf0MEgyBoH9Th3BwiAdhQKiQxfrEI2mNIjD9CJA04gcWQTA5P4jIhAjdHBizfXw4Mab73HbKZhvuDhzftMhRHuobkfze4EcUTsC4AWCBdRSbO1vpMLzteRZ1lu+yuW07bhuVodvOMGP/jx8+eLhgJ+5Dwkyl/xy0CY3Om3vAIO02GoTH0nBp0vMEtNAXsT/a068pEhVux8qoI6nJfe6cWtP80MKc7wqUoxGTw88Zd8Fj5zNfS6PXAHw+1LMv+CA+1K1IPjDmBAHKL6+M/t7X1yeRCE5bnzWDptsbN240UecjXfbvfe97kXbNeH0+/ij80ZaL5X3btsuODoQACyObS4rlzos3Sy7+UFRRBBQBRUARUAQUAUVAEUguBPqbMqDpGdlDVyJni9AQWLMPQKF0EGkAa8RBCWQhSOZrBiR3yWBU7cBEzoN/29uUmZkpNpHsZD23Y8mJu0EqOvxbrKbS8Dv4l3t7eN9rMTtPscHxR7wPcAJt4yVArUarG7OTTyDYyJ04LoiD4pDDB84NS8fBYTnvz4cku3xISJyGJhKoVps1pPuEzd5mkZNPOseasDNY0dMckMaXB6XmtZFaxK6nuwOSoOO1sqCFFdTecrS4gvtH64LbhhQBOcL+DLBEgoRtWE/taluPbVsmkRJAvdEajD09baEITA0B3pdMceh9waLbu2DcHpB+syFxfWsBYep2mzAb852zxySJDl/bI+nDJuI9P5j5/DlCP7blm0WWvyW63+zZxGVOEKAEcOHChSZie1dXV1g8bX1+fjTPvmG7Trpy8+bNwhROTpw4IclEgHKOVYjq/sCVl8l9J0/Lz043yuGgNuhqaM/eUL0YqUrSgyY84c5J6xQBRUARUAQUAUVAEVAEZg+B7Iph6T2ROAKUZuq+kgHxlSLBlHloaEBajg7IMGyhGcXYLZmFIkuvRWydaKoy7g4eyyTlsuGvPicnx5CZLFvCkzk1PKcqNHH0KjQDZ8CjmdZsGYR+Qm+j11k6AZI4V69BVcKNTFz2/hB7SBiGEUb/9bdnyMHv5sgVX4ZbvrKJjUh+kgR1E6NUTGHd4ODg6D5qn9K/n9HQmjjMuBpG6u5CKlw6rtrzhrllEHmdPhoFvmNnQk7/Hn5bD+NI0JIyOmomB2Fqt1mLMqh1k+dXpcG0lqQq6khmUXvNkKy2DrnVUjNtuG3bpCNAEDTgTgWPZcbGsUaP4Z4DjwkdxAz05/GDGnKx1fbQTUURUARSHAG8BxkgkEEBbQBBd06f22Yf/W+zTdAPN9w0uIWuTJbXrpbiBP/+u4+RqPK8IUA7O/FXA6S0tDRR2M3JcXz4i+CmpdUmzckT1JNSBBQBRUARUAQUAUVgjiKQU+5RjdF1/vRBRw1Ov6/fyU0ZGp0Z/bLiRv+EAA9FW0DkHIGfO2jr+QdBekHjI78ahGAdKBNyLJMUmqLTootEJxPJTZtPckjP3ejXMh4ZjLN9PGNHassgHPEK+0yFAD34YxwxAvnpngt9CFI7ldGhQ4UEtdXKDd3n3m6v98vp+kHJ8cHEPh0m+DCzp6k9NYwCTNxGjrvVdG7AKi4AAEAASURBVGPAkMkSoO7jzlSZ0cCNBKOSg3McPZdwc0hH4JDsFeH2eKtr3gaSGAFrvMrS1wDPmrHWRkuW156kqMmRjZZRFyJ0WVD/MCLZezDjrrzceV9wiNNPjUjXiZDBgpvuW88eceUNTgCa0R6GNMZWcK6h83bMntGbZs5o074/TdqQxpHB9OdJcthcFP7v+PjMLkmToiXpiOKejn5oM+oT2NlvfASbtvDfaHxDTuEFOHpCWlAE4kEAv+DpAQngAXSCazl5YDTYlt3Gu9ME3/JL5VV+yatyCE+Snwn4hmh++zPxt0AqyJwhQMvLnfBSR48ela1bt07AnvWUdevWTdinFYqAIqAIKAKKgCKgCCgCikCqI5ADDdBIQm23kZwB4zd/lOwMkp5c94cTatmVrR2/h4TagvNQxzQJISFmNTpJeFrSk4TnbEkWbLsHWr0fPbvEe9tEtcxy4rl6Hw7XlIGKJiv9wKODGosepfmF8ASox+7Sdxp+WgNYQY9XLJrYHQQiydHc5mFZscJvfJVaf6XMmawvU+Y22XpqpLJupiUPEaNb93o/al6F97bhWpKUjkfY3k2AGlLEvBfGaEhQiFGHrHmdQ4IOhTfINH0XboBCkms5XoJyJ94zsYRHJuGdOcVnbwF0oTrOgKh1dKMiHpaEdfWbxp6hFgTgYWCdqIJJ0n9wZkG6LHsttHaD/mcdP7TwP8tgN+PqgtuM4h3cR7KVbaj1qzI3EcAbCGQkksn9kl2GoFe5ThAr2JEL3XwMDZC4HGtjykECM782IBVbobVJ8jIrIPW/xgfJs96xggdnWHR4bz/XWs4ZAvQ1r3mNPPzww/Lb3/5Wbr755nHXiT9yjMhOufDCC8ft0w1FQBFQBBQBRUARUAQUAUVgLiBAE3hGBvaV9UvGAif5bI7AQycfQ2Tceu9nOhiHBlmkUUl2kuTMy8sTuqJimWbtySQL1kMT7ffeZkRT/9nQPMyEF6+iZY5pu5eZlq5xAlF4aRuuTW9TuNrIdT1xtg8dKeAodoZWT9yGxp9vJEt8w1kIfjtxdzw1XCOSELWkqC3HynmMWG0syWqPUVIUkI7nRmSgA8cDsQGmzCRHc4uErFPPfZkFI1O+x2iSGo8kghPms7H8zSJnXnbI8wCZlqDkwD3Cok3jSVbuKoD2eNFy3NdHbcvwOQnJikvD74unNh3sB4naE7+JTILyWNSIdX9AYNTzmO8IEMbUsiu9ABHdp2gKTI1aEy08lDRlcC+SqO4o4uPKY4G+rE/bUT+1QV+1dKVAjdd5KXzu6L8Siflo2Yc6JLPNHGkYgaEGe0hCYtuQkWP5CMcZJTKd+gIQk0UrRmAhEYCLDvRjH9PPyZ0x+OyPR75iMz4K4DfIShG+Y7bsdCLe+50432YXP4ItwgeEklW2pZMbrefxVVG34n03RB0sBXfOGQKUWp/Lli2TQ4cOyYMPPijXX3/96OW4++675dy5c1JbWytbtsBuxyVPP/209Pb2ysqVK6Wurs61R4uKgCKgCCgCioAioAgoAopA6iCQXToiiz68K/KE4+Qd4zVppxm7JTpJdrLMumSXZVg2nH4Ks+SaNoYs+wOsX+PEMcaQnncve6PIzm97a16HtlORtDgv21QxyYeGZDwSb/twY880EV/0XpGX/hG3WRRykjhu/uCIlK51NFVJoLpT+9EACBYQM9340FEAwmV5QHIrQLCABaGWK3O27yiFFtnxMbLVaJvhBqdmJ0YEHCRtSO0whytUaITxUWV/t7h97NqyzdnOjSHr03LTpOBaDHlNuvSdw1jQZCQxSjLR3c99jLXXpxkXCq37MD/sMHNiA2xwPuy77I0jQq1YnhuFOffZ+TK3+2ydaRjmPxJJDNJyDhq51HK22qB051G4zCGZMvLGd6TPX/r+jWSub1vnV03Umrf74sn5/KVBG1Dgf1HExSTHM0iUtuYetNHP6VuW/mQB7WAXXATsw4ey08B+kFcD164ozWgH080JLP6xw6nnrdN3TqTpWdSN3tPBfahyS265SOUlYzU90MI98+LY9sSScx/mL3WC6pj9uF95/3Y3ou9LuN7G4MF1v5KURCoDmbhwA8voZclO9o3znUatymO/mjizSDVVOL+chbhaDUiZkVpNrA91wUKSnoGE+MGAHyHpy5n3o5uQd4/C+zmmdrKrAy0e5rPMGQKUL9TbbrtNPvOZz8jtt98uzz77rKxatUp27dplyvQ988lPfnLCi/db3/qWNDY2mr51dXXz+V7Qc1cEFAFFQBFQBBQBRUARSGEEYi38c0BydMZxfrFMvfn3dQGCZZLsZKLPzkgkRxyHnfGm1EJbe4vI/v+JfugF54OIuS56m+ncWwkNuHO7RU49Ef0otW8gARC9Tay9+YvRggSCi1+I1qdgSbS9sfeRYMouhSsCmGJ7kQoXmeKlfTK0oTuJzX8jsuu7DrEROicSExd8kC4mCDw8Ubo0pUlI7fk+CLuj43s1Y5P35fpbQb6Uje0rvFJk29Nj29FK6SBrtr4e5uX50VpN776Vq3Fv73Hu7c56x79w7iIQQSCBlrwGBFC29+PzPWiTJUUtYcp8tG6NQ6IODSD3j0h6ltPPtuUYtsy87G0jcuyRgLTs4kOBPiDV6JPWyQNSvDIgVVeBCYRPxmQX88GC5GCGfcBJtIIIB5mWi/chhRq8hoiN8sHnxLMiUCx1iFHTK/x/Xa3QXAQshXhPAFY5i3tz2AMT1dEI7Ui0d7uEKAHJWID3Ret+kKGnME4vyHvcH3kgWUvxjLmfg/Cz8VbL+4/vte6TsdsXgKjNxbwoaXie4hE+f+GEZG+s32D2K1oWW4Pajk/t5kR8PLLjpWLu4bZLndN61ateJd/4xjcMAfrYY48JE2XZsmXy8Y9/XDZsmOJfAqkDhc5UEVAEFAFFQBFQBBQBRUARGIcATU3PvIIqD+tzLsrcPgE5EP10kvBkKoT9MQnQuSI0i80sAAl6N7R3Qn0YYoFfAxJm9TuxuI1CBswEFue931loH/2FQ1C4j0kSYMUNiSFpqW208ALHFNN9jEjlxQhsMxUhrqtvBDn4vdijkGyouiJ2u2RsQf+5V/2TSCOIo1Zo2g3iXiPWNLGuvCw80UdfvC98CaRgf/gzIin+/OdFtnx2jPwpw3FIgtOUNpZQG3I2yU87P7qiYJqqGE1UskeQRGug1/4ZyKbj0Hp8ziHf+IGAWp+VMDIliW/FkqeWQLU+aLntTlZr1+63uW3j3vYPoS9UN2fqHRSJmLPnSD/BXj9YsA+1bUmA9oK1D9V6tGOGyxnwzE2Asg01IqklyTSdsvgq+LV9YOyDBe8tXlt+oKBwO7NoRKrRLj3dqcsHEdqFObOJ09Y0xX/sN1Fypugugb/T1LDtOzNx7NAa4kUN0/ksc+70N23aJPfee68xeW9oaBAGR6qsrBz3Bc19wX/yk5+4N6OW77zzzqj7dacioAgoAoqAIqAIKAKKgCIwWwjE0r4k0UKC4VwUK3k790VYKGXnZxii05Ke9Oc5l6UKBBTPu2WHY+oaGMTCEma35QghMNVFaqJwI69DwmrJtdCielmkB5qBXGhTi3UR5kkSN1FCwpdaVsQhmpCQ5HymKlUgUanpeOyXkUeiVtaFH8Mi3he5TbLvIVG95BonxZorTZXp9iAS+Wn7D7SL7P53kYv/ztY42qQvgWztrB+rCy2RSK57c2itbkdDoKgWWndI0YTvYpKvUyVgaZ5/7Nd4J70AM2cQjjRBz630S9XlI7L4aj+YwDG3B26ylMSbJWFZb8ucs90XLo90Tva3xeZsN3QyTbKgJQoW0HB7Zp/h+LDNasMAOrQfy+ktIOUXpom/HucwwDZOO/KCaWR1TV/WBr8yBeuzz+FZAXHK8e3xbW61pO12aBv3Nudk24eWI/Vnuw3QsD74I7pJcc6TdRROmQTp6pvGf0AYqBX5/WOR35vUG+aZU3OYGp5bXw/t40zn5C1hzmtDcW+Hlu0287I/CsjeuwJwSYAXBjWTg75HA9BQNr5HoZVcut4vC9ePaUCbA8zD/+YcAWqv4YIFC4RJRRFQBBQBRUARUAQUAUVAEZgPCNhFU7RzLb/IIVPaD4VrBW2W4XxZdlmhnP+2IhOwKFyruVxHU1uamjMls5DMrn7V9M6QpOqFHxXZ8a+RCTiaiG7+q8RpFa16B0xlV4ocvt/xuWjP0JcDsuFKkZVvSyzJa8efbD7c9//buxN4Kaoz7+MP+3LhsiOL7KKgoEAIoMiOozHR6KtOXhycUQHNOBJjdJCYBFyQaEZBdIxkxChqIgMkIUqCC4uSoIgGgoigiAqCLC/7onABeet/rtXprtsr3KW7+nc+n77dVXVqOd+qrtv99Fm8wUo+9GqIeYEq1aKs7zXlrl6KQejty70g95b0jk41StVEvl774vwKhn/zJ8X9GH62MLZms2rUKfCpmmuk7BTQPXrFw4Hakl5868vPq9jHs822Lalq3W/zaqB6PwpURKq52bv2D6a/59rePUuBzGOrvR/hvPdNuqm2F8Nr7NWqrKik93OXkcUtAPZ88I9a2/XPiP9er+F1ZaEfj9Y+E/+IXWDYW1TJ60v1zH/ztuH1PXvSyXs/t/Te62oZsOk1r1uAqPNS4N3HO3y3uJay9qPPCQqa6qHguB8491/700ePHnV59Bw9z3990sdcQRsIbQC0gjzZLQIIIIAAAggggAACWSugyjoKJNVt49Xu876IHtpS3aoX1bMaX9W1U06vY+2+XdnUVyEJAQmoGXzfid4X67le9wnvFAf6NF/NflX7SV0HVKmuOaWXVJNVj0O7vcfO4v79tL9sarp5rMgL0npBqI0LvIDC0aiy6/11nhcAuTp+cCQqZ1ov1bw9k6T8fgBU6+ncnPZ/vADIZV4gdWtxYES1zlSTlpS9AhqAZ/mk4v4tEx2lAuPLHzI79+7i90iifGU1v3azzLbs5w82Z0+1lUzzp9reiS5XIFQ/IKaT1GXKV4e9mqOzvNxe0DqY1L3AWdd72/P6uC2tpEG8VBv1tCu9bga8a+PoIa/lQoOSrRdU29WvnXyi3dgoiKpA6JEjRyJB1FxpIUIAtLSuOLaDAAIIIIAAAggggECWC+jLjwYsatG70AovKLQa1Wu6L0r68qTgKAmBoICa/6umkh76Uq1AZHkEI92Xd+8LfLYlGbzz8wRNy497TWWXFNcKVe1LleFk0uG9ma2dKL+a69Zpkdm2yF1xAuu84LoG90mVFOja+KpXm/c7qXKW/nLV1FYwXd0vpJP8gcvUP6368EynfNpuadbG18jx27zuBDTglqu17QU1G5zh7aOPd0xeLfPSTG0vLv4hRz+S7F7r1eT1amVqxHZ1Q6MfjkprsKbgMat7kJMdlC64zeC0PkdUrVrVPYLLsn2aAGi2nyGODwEEEEAAAQQQQACBkxBQbY/CwkKrV6+e69Mz2C9dNe/LKAmBdARKO0iQzj6zLc8ar2nrvk+TH5Vq8K163GuCfmfyfKmWZjo4Ee/lVKLZv/yYV3NQta3TTQq4V0QAVEH1jv9c3PdsqmN1A5d5NaOVXK3kK7wm4s8WTyf7W79jcb/MyfKku0yDKa38pVerfEfsGlve8Gpz/86rkTnS29c5sctOdqrA+9Gh8zUnuxXWL00B77IlIYAAAggggAACCCCAQJgENGJ7Y6/jtNNOO826dOlibdq0sfr165/0oBxhMqIsCGQqoGbkW7yAUzpp9wfFNc3SyZsoT4PTEy2JP1+12Ui5LaBR0lVTMd2kgdC+OpZu7tLN16JvcV+yybaq7ha63+LVGo8auKz1ULNW3iNZUt+V59xcOi0T9IPF216t7WDw09+/aoOumOwNNvWuP4fnsApQAzSsZ5ZyIYAAAggggAACCOSVgIKep5xyigt01qpVGiMr5BUfhUUgpcCOlSmzxGT4fyuKm7zGzMxg4pTeZuu8fgQVoEmVFDBS82JSbgscP5FgpvqZjAowlqdAooHL1K2K+glW/7PxajKrZqQC9h/PMTuw+R9HXLXAGyxpoFn7S7xm6aXwb+y4Z/PeE16Q+Mg/9hH3ldd9hfKd/6C33xpxczAzBAIEQENwEikCAggggAACCCCAAAINGzYEAQEEylDgy0Dz2VS7yjR/cHsKxKhprmqnmRegSZQ0qErXUV5tOdp3JiLKmfm1mnqHqv6Yk5zv6MKoL0md/4pM/sBl6g9U13wVrz/Ngmap+wpW/556HNpV/FDAU4MlRdcWPdly7VrjBVg3pbcV/dCw7S1vRPX+6eUnV+4JcIvMvXPGESOAAAIIIIAAAggggAACCJSzQJUMa4Zlmj9ecdQvYfdbvVp0deItLR7luedYs8J28ZczN7cEVFtSA+Wkm/zBhdLNX5b5NCiSBkeqe2rq4Gf0cSiIq/XqeLWYSzP4qX2oK4pM0u4PM8lN3lwTqJprB8zxIoAAAggggAACCCCAQLGAattsnO99yfNquRz2aq9Ur+s1g+1c3L9aba/vNRICCJSeQL0Mg4z12pfOvhUE7feg1//om8UBnSMHvPd6PS9Q5jV5b+Y1k6/oGoClU0q24guoWfmu971KoGraniQpKN72O0kysMiNvp4Jg95bpPAKEAAN77mlZAgggAACCCCAAAIhFtj0uplGpD4eNWDGYa8p4f4NXlD0VbNOw71A6OAQA1A0BMpZoFFXsxoNvB8bdqfeceXqXnCyT+p86eZQ82C9n3lPpyuWu/lUm7eL16WB+qRMFAStWturGfxD73oszN1ylseR1/B+KMgkqRYrKbwClcNbNEqGAAIIIIAAAggggEA4BbZ6/ZS9/+vY4Gd0STWQxprpXo2xN6Ln8hoBBE5GoIoX1DzzWm8LlVJv5Yz/6wWnMgy+pN4qOfJFoPl5Zr3HeTX61Rw+6nqr7FVhU2D93Hu8ZuMd80XjxMvZqEtm62bS/UBmWyZ3NghQAzQbzgLHgAACCCCAAAIIIIBAmgJHvyyu+ZlO9jXPmjXu5vUf6NUWIiGAwMkLaMCXrjearX4ywcjSXhWj0//Zq6k55OT3xRbyW0A1QXuOMdeM+4vtxf1j1jqFUcozuSrUDYW6hdFgSKlS7eZmTXqkysXyXBYgAJrLZ49jRwABBBBAAAEEEMg7ge3LvS/EafZTdvQLs+3vMKpt3l0kFLhMBZqfa9agU3FXE7tWF/e/q8FrGnrzWg0tHgG7TA+AjeeVgK6tTPufzSugFIVVdwJLvRqzRXsSZ9TI9efcVPqDMCXeI0sqQoAAaEWos08EEEAAAQQQQAABBE5QYO/Hma2o/C37Z7YOuRFAILlATa8vUNX0JCGAQHYL1Gxk1md8cZ+qGlwqmArben2u3lA8Cn1wGdPhEiAAGq7zSWkQQAABBBBAAAEEQi5w7HBmBcw0f2ZbJzcCCCCAAALZLVCzodedwB1m+zaY7fRqbas2aLU6xTW51Zdqpah+VrO7JBzdyQgQAD0ZPdZFAAEEEEAAAQQQQKCcBWo1zmyHmebPbOvkRgABBBBAIDcECtuY6UHKTwGvi2YSAggggAACCCCAAAII5IqABmHJJGWaP5NtkxcBBBBAAAEEEMgFAQKguXCWOEYEEEAAAQQQQAABBL4WUH9lTbqnx9H4HG/wjA7p5SUXAggggAACCCAQVgECoGE9s5QLAQQQQAABBBBAILQCXUZ6I023SF68gubewA7e6LckBBBAAAEEEEAg3wUIgOb7FUD5EUAAAQQQQAABBHJOQIM39B5ndupgb/CGwCd6TZ860KyXt7x63ZwrGgeMAAIIIIAAAgiUugCDIJU6KRtEAAEEEEAAAQQQQKDsBarWMjvz38w6Xmm2Z503qu0+L+BZaKYRbasVlP3+2QMCCCCAAAIIIJArAgRAc+VMcZwIIIAAAggggAACCMQRULCTgY7iwDALAQQQQAABBBD4WiDQYAYXBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgPAIEQMNzLikJAggggAACCCCAAAIIIIAAAggggAACCAQECIAGQJhEAAEEEEAAAQQQQAABBBBAAAEEEEAAgfAIEAANz7mkJAgggAACCCCAAAIIIIAAAggggAACCCAQECAAGgBhEgEEEEAAAQQQQAABBBBAAAEEEEAAAQTCI0AANDznkpIggAACCCCAAAIIIIAAAggggAACCCCAQECAAGgAhEkEEEAAAQQQQAABBBBAAAEEEEAAAQQQCI8AAdDwnEtKggACCCCAAAIIIIAAAggggAACCCCAAAIBAQKgARAmEUAAAQQQQAABBBBAAAEEEEAAAQQQQCA8AgRAw3MuKQkCCCCAAAIIIIAAAggggAACCCCAAAIIBAQIgAZAmEQAAQQQQAABBBBAAAEEEEAAAQQQQACB8AgQAA3PuaQkCCCAAAIIIIAAAggggAACCCCAAAIIIBAQIAAaAGESAQQQQAABBBBAAAEEEEAAAQQQQAABBMIjQAA0POeSkiCAAAIIIIAAAggggAACCCCAAAIIIIBAQIAAaACESQQQQAABBBBAAAEEEEAAAQQQQAABBBAIjwAB0PCcS0qCAAIIIIAAAggggAACCCCAAAIIIIAAAgEBAqABECYRQAABBBBAAAEEEEAAAQQQQAABBBBAIDwCBEDDcy4pCQIIIIAAAggggAACCCCAAAIIIIAAAggEBAiABkCYRAABBBBAAAEEEEAAAQQQQAABBBBAAIHwCBAADc+5pCQIIIAAAggggAACCCCAAAIIIIAAAgggEBAgABoAYRIBBBBAAAEEEEAAAQQQQAABBBBAAAEEwiNAADQ855KSIIAAAggggAACCCCAAAIIIIAAAggggEBAgABoAIRJBBBAAAEEEEAAAQQQQAABBBBAAAEEEAiPAAHQ8JxLSoIAAggggAACCCCAAAIIIIAAAggggAACAQECoAEQJhFAAAEEEEAAAQQQQAABBBBAAAEEEEAgPAIEQMNzLikJAggggAACCCCAAAIIIIAAAggggAACCAQECIAGQJhEAAEEEEAAAQQQQAABBBBAAAEEEEAAgfAIEAANz7mkJAgggAACCCCAAAIIIIAAAggggAACCCAQECAAGgBhEgEEEEAAAQQQQAABBBBAAAEEEEAAAQTCI0AANDznkpIggAACCCCAAAIIIIAAAggggAACCCCAQECAAGgAhEkEEEAAAQQQQAABBBBAAAEEEEAAAQQQCI8AAdDwnEtKggACCCCAAAIIIIAAAggggAACCCCAAAIBAQKgARAmEUAAAQQQQAABBBBAAAEEEEAAAQQQQCA8AgRAw3MuKQkCCCCAAAIIIIAAAggggAACCCCAAAIIBAQIgAZAmEQAAQQQQAABBBBAAAEEEEAAAQQQQACB8AgQAA3PuaQkCCCAAAIIIIAAAggggAACCCCAAAIIIBAQIAAaAGESAQQQQAABBBBAAAEEEEAAAQQQQAABBMIjQAA0POeSkiCAAAIIIIAAAggggAACCCCAAAIIIIBAQIAAaACESQQQQAABBBBAAAEEEEAAAQQQQAABBBAIjwAB0PCcS0qCAAIIIIAAAggggAACCCCAAAIIIIAAAgEBAqABECYRQAABBBBAAAEEEEAAAQQQQAABBBBAIDwCBEDDcy4pCQIIIIAAAggggAACCCCAAAIIIIAAAggEBAiABkCYRAABBBBAAAEEEEAAAQQQQAABBBBAAIHwCFQNT1GKS3L48GGbPXu2vfPOO7Z7927r2LGjdevWzS666CKrUqVKxsVdu3atzZo1yzZs2GAFBQXWtWtXGzx4sLVv3z7jbbECAggggAACCCCAAAIIIIAAAggggAACCJSvQKgCoHv27LGbbrrJPvvsM6fYsGFDe+mll9zjjTfesPHjx1v16tXTFlYgdcqUKS5/nTp1rKioyJYvX24zZ860+++/33r06JH2tsiIAAIIIIAAAggggAACCCCAAAIIIIAAAuUvEKom8Pfee68Lfvbu3dvmzp1rf/zjH23GjBnWoUMHW7x4sT3yyCNpC69atcrlV8D0vvvusz//+c8ukPqDH/zAvvzyS7v99ttt69ataW+PjAgggAACCCCAAAIIIIAAAggggAACCCBQ/gKhCYC+//77tmzZMqtVq5ZNmDDB6tWr5zRbtmxpkyZNcs3f582bZ/v3709Lefr06Xb8+HEbPny49e/f3ypVqmTVqlWzq666yq688ko7cuSIzZkzJ61tkQkBBBBAAAEEEEAAAQQQQAABBBBAAAEEKkYgNAHQ1157zQkOGDDAatasGaOppvC9evVyTdgVBE2VvvjiCxdMVb4LL7ywRHZ/nmqZHj16tMRyZiCAAAIIIIAAAggggAACCCCAAAIIIIBAdgiEJgC6evVqJ6rm7/GSAqBK7777brzFMfPWrFnjan+2atXKWrRoEbNME506dbK6deva3r17bePGjSWWMwMBBBBAAAEEEEAAAQQQQAABBBBAAAEEskMgNIMgbd682YnWr18/rqw/3x8gKW6mr2em2payaXtqTq/tJRoRXs3kNSp9vKR+REkIIIAAAggggAACCCCAAAIIIIAAAgggULYCoQmAHjx40En5gc4gW2FhoZvl5wsuj5728yTalvKms73nnnvOjRYfvW3/dfPmzf2XPCOAAAIIIIAAAggggAACCCCAAAIIIIBAGQmEogn8V199ZYcOHXJEapoeL9WpU8fNTlQjM3od9QGqlGhbWuZvz9+v5pEQQAABBBBAAAEEEEAAAQQQQAABBBBAILsEQlEDtHLlym70dzUrTxTg9OdXr1495RkoKChweYqKihLm9bdXo0aNhHmaNGliXbt2jbtcNUi3bNkSdxkzEUAAAQQQQAABBBBAAAEEEEAAAQQQQKB0BEIRABVF48aNXX+c6pczXvLn+8HNeHn8edqW0r59+/xZJZ7T2d53vvMd0yNe0uBJF1xwQbxFzEMAAQQQQAABBBBAAAEEEEAAAQQQQACBUhIIRRN4WfhBSz8wGfTxg5kNGjQILioxnWpbWiGT7ZXYATMQQAABBBBAAAEEEEAAAQQQQAABBBBAoFwEQhMAbdq0qQP7+OOP48L58zt37hx3efRMf1sa4V0juQfT3r17bdeuXaam9x07dgwuZhoBBBBAAAEEEEAAAQQQQAABBBBAAAEEskQgNAHQIUOGONL58+eXoNUgSQsXLnTzu3XrVmJ5cEaLFi2sU6dOduDAAXvrrbeCi23RokV27Ngxl6d27dolljMDAQQQQAABBBBAAAEEEEAAAQQQQAABBLJDIDQB0D59+ljbtm1t3bp1Nm/evBjd3/zmN7Zz505r06aN9e7dO2bZkiVL7NVXX7VPPvkkZv6wYcPc9FNPPWXRzeq3b99uzz//vFt21VVXxazDBAIIIIAAAggggAACCCCAAAIIIIAAAghkl0BoBkGqVKmSjRo1ysaNG2cTJ060N9980zVPX7VqlXtdrVo1GzNmjClfdJoyZYobjV3rtmvXLrJowIABpubya9assZEjR9qgQYPs6NGjphqmCqb27dvXBg8eHMnPCwQQQAABBBBAAAEEEEAAAQQQQAABBBDIPoHQBEBF279/f5s8ebILgKqZuh5Kqhl666232tlnn+2m0/lTpUoVe/TRR932XnnlFVMtUiXNv/LKK+3GG290fYCmsy3yIIAAAggggAACCCCAAAIIIIAAAggggEDFCIQqACrC7t2726xZs1wtTQ1ipAGNmjVrljBYOXPmzITyNWrUsLFjx9rtt99u69evt+PHj1urVq2soKAg4TosQAABBBBAAAEEEEAAAQQQQAABBBBAAIHsEQhdANSnbdSokelRGqlq1ap2xhlnlMam2AYCCCCAAAIIIIAAAggggAACCCCAAAIIlKNAaAZBKkczdoUAAggggAACCCCAAAIIIIAAAggggAACOSJAADRHThSHiQACCCCAAAIIIIAAAggggAACCCCAAAKZCxAAzdyMNRBAAAEEEEAAAQQQQAABBBBAAAEEEEAgRwQIgObIieIwEUAAAQQQQAABBBBAAAEEEEAAAQQQQCBzgdAOgpQ5RcWssXjxYtu6dWvF7Jy9IoAAAggggAACOS6wevXqrC/B9u3bbebMmVl/nBwgAggggAACCCCQjQJFRUUnfVgEQE+a8OQ28Oyzz57cBlgbAQQQQAABBBDIc4H69etntcCnn35qP/vZz7L6GDk4BBBAAAEEEEAgzAKVjnspzAXM5rIdOXIk7cNbuHCh/ehHP3L5R4wYYaNHj057XTLmn8DQoUNtx44dVlhYaKplTEIgkcDUqVNND6UHHnjALrzwwkRZmZ/nAjt37rQhQ4Y4hZ49e9q0adPyXITiJxO47bbbbMGCBS7L73//e2vfvn2y7Ce9rFKlSla1anb+rn/s2DH76quv0i7jd7/7XduwYYNVrlzZli9fnvZ6ZMw/AVWkeOihh1zBFWC/4oor8g+BEqclcPjwYevdu7fL26lTJ5sxY0Za65EpPwXGjRtnL7zwgiu87jNdu3bNTwhKnVJg1apVds0117h8l156qd1zzz0p1znZDPq8p899J5Ky85PiiZQkB9epVq1a2ketD8FHjx51+RWzzmTdtHdCxtAIKLiu60XPXCuhOa1lVhD/3qJ/JFwvZcac8xvWhw3/WlFAh2sl509pmRZA14h/vejayefrpUqVKqZHukluenBPTlcsv/P57zOul/y+DlKVPvqezP/wVFos1492/r1F/7/y+X84V0Nygeg4la6bbL9WGAQp+flkKQIIIIAAAggggAACCCCAAAIIIIAAAgjksAAB0Bw+eRw6AggggAACCCCAAAIIIIAAAggggAACCCQXIACa3IelCCCAAAIIIIAAAggggAACCCCAAAIIIJDDAgRAc/jkcegIIIAAAggggAACCCCAAAIIIIAAAgggkFyAAGhyH5YigAACCCCAAAIIIIAAAggggAACCCCAQA4LVPJGFD+ew8efN4e+bds2W7FihStv+/bt7fTTT8+bslPQzAUWLVpkhw8fdqOwDRkyJPMNsEbeCHz00Uemh1K3bt2sWbNmeVN2CpqZQFFRkS1cuNCt1LBhQ+vVq1dmGyB3XgnoM4s+uyidf/75VqdOnbwq/8kU9i9/+YsdPHjQjQJ/4YUXnsymWDfkAp9++qmtXbvWlfKss86yVq1ahbzEFO9EBTQ68yuvvOJWLywstPPOO+9EN8V6eSCwatUq27x5sytpnz59rH79+nlQaop4IgJ79uyxpUuXulVbtmxpXbt2PZHNlNs6BEDLjZodIYAAAggggAACCCCAAAIIIIAAAggggEB5C9AEvrzF2R8CCCCAAAIIIIAAAggggAACCCCAAAIIlJsAAdByo2ZHCCCAAAIIIIAAAggggAACCCCAAAIIIFDeAgRAy1uc/SGAAAIIIIAAAggggAACCCCAAAIIIIBAuQkQAC03anaEAAIIIIAAAggggAACCCCAAAIIIIAAAuUtULW8d8j+MhfQ6I6zZs2yDRs2WEFBgRtZa/DgwabR4En5LfDFF1/Y7bff7kbuHjduXFIMrqOkPKFduGjRItOIwps2bTKNANq6dWs799xz7YILLkhYZq6VhDShXrBjxw777W9/a+vWrbMvv/zSNKJw9+7dbeDAgQnLffjwYZs9e7a98847tnv3buvYsaN169bNLrroIqtSpUrC9VgQLoHjx4/bPffcY5999pndd999dsopp8QtIPeWuCyRmbyfIhS8iCPwpz/9yZ555hm76667rHPnznFyFM/ifZaQJtQLdu7caTNnzrT169fbtm3brGnTptauXTv73ve+Z02aNIlbdu45cVnyYub8+fPttddec98Pmjdv7uILgwYNMr1OlLi3JJLJr/krVqywxx57zHr37m2jRo2KW/hsvrcwCnzcU5Y9M/XFcsqUKe6A6tSpY0VFRe5Rq1Ytu//++61Hjx7Zc7AcSbkK6Avnj3/8Y1uyZIkLUjzyyCMJ9891lJAmtAv0j+c///M/Tf+klAoLC93zvn373LOCVL/4xS9M95LoxLUSrZE/r9966y376U9/aocOHXKFrlu3ru3fv9+9vvjii23MmDElApp79uyxm266yQW9lLFhw4a2a9cut07//v1t/PjxVr16dTfNn3ALzJgxw30YVikVRG/VqlWJAnNvKUESM4P3UwwHEwGBVatW2Q9+8AM7evSoPfroo+6HpkAWN8n7LJ5K+OcpkDVx4kT346V+fGzUqJEpIHrs2DH3Oe+OO+6wIUOGxEBwz4nhyJsJ3UPGjh1r+tynpM97Bw4cMH2vrFevnvtucOaZZ5bw4N5SgiQvZ+i7wbXXXmvbt2+3oUOHus/6QYhsv7fQBD54xrJoWh92FNTSF0jVqPjzn/9sL730kvsApNo5qvm3devWLDpiDqW8BHT+H3jgARf8TLVPrqNUQuFcrl/mFPxs27atTZs2zVRzRI8nnnjCBSf+/ve/uy9R0aXnWonWyJ/X+hBz9913u+DnlVdeaf/7v/9rL774ov3Xf/2Xu370v+fxxx8vAXLvvfe64Kd+AZ47d6798Y9/NAXCOnToYIsXL3b/v0qsxIzQCXz00Uf2q1/9Kmm5uLck5XELeT+lNsrXHPpf/pOf/MQFP5MZ8D5LphPeZZs3b44EP6+77jp7+eWX7Xe/+517/td//VcXFFWlGdXQj07cc6I18ue1/l8r+NmiRQsXX3jhhRfc9XLNNdfY3r177ZZbbnHB82gR7i3RGvn9+qGHHnLBz2QK2X5vIQCa7OxV8LLp06e7X2OGDx9uqk1TqVIlq1atml111VWmL6lHjhyxOXPmVPBRsvvyFlBTU32gUTCrcuXUb2Guo/I+QxW/P3WNoA80uj7ULPWMM86IHFSnTp3cBx7NUNBKef3EteJL5NezfljTL7otW7a00aNHuw/FqkHSp08fd6+RhmqXRKf333/fli1b5mqWTJgwwdUa0HJtY9KkSa626Lx58yK1SKPX5XV4BFTTXPeYqlWrJq3ty70l+Tnn/ZTcJ1+X6v/zgw8+6Co+qIuRVJ/5eJ/l55WiHyxVMUK1sa6//nqrUaOGg9CzmqeqGxu17lA+P3HP8SXy61ktSfVjtZKC5Yov6P+3uki44YYbXAUJXSt+7VBfh3uLL5Hfz6+88ootWLDA6tevnxAiF+4tqaMnCYvHgrIU0IcefblUuvDCC0vsyp+nAIaqspPyQ+DVV1+1W2+91dX8Va2rH/3oR0kLznWUlCe0C/VLrZo9qRmq+n8KJs3Thx01d/n444/dYq6VoFL+TKv5U69evVywM/gFu1+/fg5C/YnpC7if/IDogAEDrGbNmv5s96ym8NqePmgrCEoKr8DUqVPtk08+cYHz2rVrxy0o95a4LDEzeT/FcDDxtcDIkSNdsELvLfXzHu//uY/F+8yXyL9nv6sj//91UEDfF5RUW99P3HN8ifx61uc4BT2/8Y1vuIB5sPRaprRmzZrIIu4tEYq8fqFWx6rgoIoOw4YNS2iRC/cWAqAJT1/FLtCNR8EJBTBURT2YVItLX1pVVX3jxo3BxUyHVED96+l6UN8tap7aoEGDpCXlOkrKE9qFCj6pBqiukXhJP5ro3qHk/4rHtRJPKj/mXX755aYmLerrM5j8ALnuO9H3m9WrV7us/her4Hq6BpXefffd4CKmQyLw9ttvuwGwNKjapZdemrBU3FsS0kQW8H6KUPAiSkD9qKnCw9NPP5104EKtwvssCi7PXqq7NHVdo1Yb8ZLfN7f/eU95uOfEkwr/PA1QqP7eH374YVfzM1hiP0iuQTD9xL3Fl8jfZw2iq9Zeqmn+s5/9rETFh2iZXLi3EACNPmNZ9Fr9uShF/7MKHp6/LNinSzAf0+ERUAfmv/nNb+zb3/626xIhVcm4jlIJhXO5ustQsCrRSI5qwqDaeersXL/kKXGthPNaONFSqWnz0qVLXfNmbUNB0uiU6nrh/1O0Vvhe6wcU9U2ue4h+kEuWUl0rWjffr5dURvnuk+z6CvOyp556ygUrEv0vjy57qmtIebmOosXC81pN3fUjZbxa+PrB22+JER3USnW9cK2E5/pIpySbNm1yfb2r6XuzZs3svPPOi6yW6lpRRq6XCFcoX2hwy5UrV5r6iY2+j8QrbKrrJRuularxDpx5FS9w8OBBdxD+RRLviPxRnf288fIwL1wCjRs3zqhA/rXBdZQRW6gzf/7555EBbdTfj4KlSlwroT7tGRVOfc7pC5OC5OoLVINvXHTRRTHbSHW98P8phit0E6pdrhGGFQRVlwfJUqprRevm+/WSyijffZJdX2Feptpa6aZU15C2w3WUrmZ48mnAGwW39GO3Kk/4KdX1wrXiS4X7+YMPPrC77rrLXSMqadeuXd2AWv7517xU14ry+Pn9vJpHCoeArhENpqvxJDT6e6rkXwOJYg/ZcK1QAzTVWayg5epvQ0nN3BOlOnXquEXqrJiEQDwBrqN4Kvk7TwEL9RurZnVqohzdbJVrJX+vi2DJly9fbvqxRR3jqy9Z9eejvn/8pKYw/v+dRP+j/P9PqklKCpeABuB7/fXX7Vvf+pbrSyxV6bi3JBfi/ZTch6XpCfA+S88pn3LNmDHD9FDf3nfeeWek2Sr3nHy6CpKXdf369a5Zs/9D5oYNG2zJkiWuGz5/Te4tvkT+PfsDXaoyhJq+63tBspQr9xYCoMnOYgUuKygocHtXDZxEyf9i6Y/2lygf8/NXgOsof899sOTqK/jf//3fXVP3M888M9K02c/HteJL8KxuNtSfmLpK0K+9+jA8fPhw0+BaSvoyVatWLffa/z/kJqL++POrV68eNZeXuS6gGuRTpkxxTeRuueWWtIrDvSU5E++n5D4sTU+A91l6TvmS63/+53/ssccec/+v1efj2WefHSk695wIRd6/0A+Zc+bMcYOtPfnkk677rPvvv9+1/PFxuLf4Evn3rHuI//2xTZs2KQFy5d5CADTlqayYDH5T53379iU8gP3797tl/o0pYUYW5K0A11HenvqYgmsgmu9///u2ZcsW69mzpxvFL3jf4FqJIcvrCb9bhGrVqtmIESPsn/7pn0wBzenTp0dc/OvF/z8UWfD1C39+8DoL5mM6dwRUG/iee+5xtX/VLUK659a/Vvg8k/hc+0b++yaY05+frnlwfabDL+BfQ7zPwn+uk5XwyJEjdu+999qzzz5r+gFS9+wLLrigxCr+9eLfW4IZ/Pncc4Iy4Zr2P++pVKeffrrr1ka1/f7yl79EBsryrxXuLeE696lK8+abb9of/vAH973xiiuuSJU9sty/Xvx7SGTB1y/8+RV5b0lejzV4xEyXm0Cqi0cH4t+IokfmLbcDZEc5IcB1lBOnqUwPcuHChW7kPn0o1miyGrAkXhMGrpUyPQ05vfFBgwa52qDqB8hPul40AJ//Qcaf7z/z/8mXCM+zRofV6J76hV9NoYJJXWso6ccW5dGz+pzj3hKUKjnN+6mkCXMyE+B9lplXGHPr/7F+nFqxYoXrk1E1+dSnY7zEPSeeCvNUy699+/a2bt06+/DDD92AN9xb8vO6UM1gpffffz+myzTN81t5qTukSy65xA2I+dxzz2mR+8yX7d8PqAHqTlX2/WnatKk7KF1AClwEk0Zg3bVrl/uS0bFjx+BiphFwAlxH+X0hvPjiizZ+/Hh3D7nuuuvcaLLxgp9S4lrJ32tFNTsnTJhg27Zti4ugmqBK0deOf718/PHHcdfx53fu3DnucmbmpoBqhqjGiL5oBx9+idQBvpb5n138a4XPM75QyWffyH/fBHP483k/BWWY9gX8a4j3mS+SX8/60XH06NEu+Hnqqafa1KlTEwY/JeNfL/69Jajlz+eeE5TJ7Wn9iKlubNQ3bKIU/MznXyvcWxKJhXO+Pu/poWBn8POeHwA9evSoW3bgwIEIgn+9+PeQyIKvX/jzK/LeQgA0eFayZLpFixbWqVMn0wX11ltvlTiqRYsWucEplKd27dolljMDAQlwHeXvdbB06VLTSM0KVqjW5/XXX58Ug2slKU+oFy5btsxefvllN7BNvIKqNomSmkf5aciQIe7l/Pnz/VmRZ3WCrprHSt26dYvM50VuC2gEUA2Ilejhj/ipppfKc9lll7kCc29Jfd55P6U2IkdyAd5nyX3CvPT48ePuc54GtNF9WsHPVq1aJS0y95ykPKFdqAEsZ8+ebaqtp+BVMKmCla4jJf8zH/eWoFJ+TE+cONF9ltPnueDD7wNe9xEt82uLSiYX7i0EQLP4Gh42bJg7uqeeespF1/1D3b59uz3//PNu8qqrrvJn84xAXAGuo7gsoZ6pX+YmT57sRnEcOXKka4aaToG5VtJRCl8e/8OKaoJu3rw5poAKfmpAJKXLL788sqxPnz7Wtm1b10xq3rx5kfl6oUGUdu7caWpK1bt375hlTOSnAPeW5Oed91NyH5amJ8D7LD2nsOVSax8NUqimyvrhu169eimLyD0nJVEoM6hLhCZNmpgCnQqU6wdrP+m7wwMPPOBq/ClfdAtT7i2+Es+pBHLh3kIfoKnOYgUuHzBggKl68Jo1a0xBDPXDpl9rVONGXy779u1rgwcPrsAjZNe5IMB1lAtnqXSPUb/uarRmpV//+tfukWgPavp8/vnnu8VcK4mUwj1fgU3VGFaH51dffbXr8Lx79+6mPh9Vk1O1S773ve+ZPtT4STWLR40aZePGjTP9Sqx19WFZX8L0Wk2oxowZ42og++vwnL8C3FuSn3veT8l9WJqeAO+z9JzClEtBKwWylHbs2BHzQ2WwnKeddppNmzbNzeaeE9TJj2kNjHX33Xe77hL047ZiChroUv12qz/HTZs2uQC6+vnWPD9xb/EleE4lkAv3lkreF5vjqQrC8ooT8GtyvfLKK5H+tNQfg76w3njjjVazZs2KOzj2XOECixcvdh2eK1jxyCOPJDwerqOENKFcoMCTglDppPvuu8/69+8fycq1EqHIqxdFRUWuZYGaL+sa8JP68lG/YgMHDvRnxTyrhqgCoFu3bo3MV83QW2+91Xr06BGZx4vwC6gjfA2E9Nvf/jZu80vuLamvAd5PqY3yOce1117rmqc++uijCbsX4X2WX1fI2rVr3Y+R6ZS6Q4cO9vTTT8dk5Z4Tw5E3ExrUctKkSW6AG7/Qii+oRdDNN99s8QZY5t7iS/H8+9//3rU0HDp0qBtrIp5INt9bCIDGO2NZOE81P9Unh+LV6teloKAgC4+SQ8p2Aa6jbD9D2XN8XCvZcy7K80h03lUDYPfu3da6dWtr1KhRWrtXqwR1kK+AabNmzWJqDqS1ATLljQD3ltSnmvdTaiNyJBfgfZbch6WxAtxzYj3yZUqf9TZu3OjiCvrMpxqiqRL3llRCLI8WyMZ7CwHQ6DPEawQQQAABBBBAAAEEEEAAAQQQQAABBBAIlcA/OncIVbEoDAIIIIAAAggggAACCCCAAAIIIIAAAgggYEYAlKsAAQQQQAABBBBAAAEEEEAAAQQQQAABBEIrQAA0tKeWgiGAAAIIIIAAAggggAACCCCAAAIIIIAAAVCuAQQQQAABBBBAAAEEEEAAAQQQQAABBBAIrQAB0NCeWgqGAAIIIIAAAggggAACCCCAAAIIIIAAAgRAuQYQQAABBBBAAAEEEEAAAQQQQAABBBBAILQCBEBDe2opGAIIIIAAAggggAACCCCAAAIIIIAAAggQAOUaQAABBBBAAAEEEEAAAQQQQAABBBBAAIHQChAADe2ppWAIIIAAAggggAACCCCAAAIIIIAAAgggQACUawABBBBAAAEEEEAAAQQQQAABBBBAAAEEQitQNbQlo2AIIIAAAggggAACWSuwf/9+e+GFF6xSpUp29dVXxxzne++9ZytXrrTWrVtbv379YpYxgQACCCCAAAIIIIBApgLUAM1UjPwIIIAAAggggAACJy3w17/+1YYPH27jxo0rsa0HH3zQLZs7d26JZYlmdO/e3QVTFVA9kUeXLl0Sbbrc5iso7B/7nXfeWW77ZUcIIIAAAggggEDYBQiAhv0MUz4EEEAAAQQQQCALBd555x13VD179ixxdMmWlcjMDAQQQAABBBBAAAEEUgjQBD4FEIsRQAABBBBAAAEESl8gUZDz4MGDtmbNGrfDeMHRREdy880327Zt2+IufuCBB2zfvn1Wr149GzNmTNw8jRs3jjufmQgggAACCCCAAAK5L0AANPfPISVAAAEEEEAAAQRyTiBRAHTFihX21VdfWaNGjaxdu3Zpl2vEiBEJ8/7yl790AdDCwkKjaXlCJhYggAACCCCAAAKhFaAJfGhPLQVDAAEEEEAAAQSyU2DLli32+eefu/4ue/ToEXOQfmD0G9/4Rsx8JhBAAAEEEEAAAQQQOFEBaoCeqBzrIYAAAggggAACCKQlsG7dOtu9e3ck79KlS93r5s2b29q1ayPz9WLBggVuumnTprZs2TKrWrWqBYOkMSuU8cTmzZvdMeo4t27dam3btrWOHTvamWeeaamazRcVFdmiRYtM5Vfz/Pbt27v1tG7dunVP6MgVPP7ss8/cujVr1rSzzz77hLbDSggggAACCCCAQD4JEADNp7NNWRFAAAEEEEAAgQoQuO222+zFF18ssWfVAu3du3eJ+Zrx3HPPuYf67dyzZ0/cPGU5c+PGjXb99ddHArLBfSn4OH78eLv99ttdkDa4/Nlnn7WxY8e6mq7BZXXq1LHJkyfbyJEjg4uSTqtv1IEDB9r27dutdu3aNmfOnKT5WYgAAggggAACCCBQLEAAlCsBAQQQQAABBBBAoEwFVNtRfXr6ae/evXb06FFTILBGjRr+bNf3p19T1M+vfjvLO7366qt2xRVX2P79+61y5crWt29f1x/psWPH7MMPP7S3337bDh06ZD/+8Y9dnvvuuy/mEP/whz/Ytdde68rToEEDGzx4sDVs2NDVaF25cqUdOHDARo0aZatXr3aB0JiVE0x88MEHbjsKfspt7ty5NmDAgAS5mY0AAggggAACCCAQLVDpuJeiZ/AaAQQQQAABBBBAAIGyFGjWrJlrEr548WLr169fZFevv/66q+Go5u+JRnSPZM7gxamnnmpqyt6qVStTzc5UqVevXi7IqSCsmrB37do1ZpU33njDvvWtb7mBlRTg3LRpk6uR6Wfq3LmzazavJu/vvvuuFRQU+ItcjdDzzjvPNmzY4OarWb0CmkoKuPoBXwVXJ06c6OarCb2CnWr+ruXz5s0zbYOEAAIIIIAAAgggkJ4AgyCl50QuBBBAAAEEEEAAgVIQULBQwU3VrOzevXvMFlWzUqlnz54x88tz4s0333TBT+1TAchg8FPzFXz8j//4D710fZuqVqifduzYEenXdPTo0THBT+Vp0aKFTZgwwdV8VWD2b3/7m79q3Of169fboEGDXPBTwdb58+cT/IwrxUwEEEAAAQQQQCCxAAHQxDYsQQABBBBAAAEEEChlAX+U906dOkVqPvq78AOg3/zmN/1Z5f58+umnuyDjr371Kxs2bFjC/Z9xxhmRZWrS7ifV0PRrfM6ePdt27drlL4o8/8u//It98cUXLlCarBn7J5984oKfqr2qAZcWLlxoFWkTKQAvEEAAAQQQQACBHBMgAJpjJ4zDRQABBBBAAAEEclnAD4DGq+WZDQFQNXsfMmSI3XDDDSVGalcfoKqRqQGann/++chpUH+mfqpevbrrq1PTS5YsMQVUNZjSzJkzXW1Rza9UqZKrAavXidKnn37qgp/+iO9Tpkyxbt26JcrOfAQQQAABBBBAAIEkAgyClASHRQgggAACCCCAAAKlK5AoALpz505TjUelbKnlqP4/X3vtNTdYkUZg/+ijj6yoqCglyLRp0+ySSy5xgx6pXE899ZR7VKlSxfr06WOXXnqpq12qPkkTpegAq/JooCUNzBQ9aFSidZmPAAIIIIAAAgggECvAIEixHkxoiZhyAAAHYklEQVQhgAACCCCAAAIIlLLAiBEjbMGCBW6rn3/+uR05csSaNGkSM3CQAosa5EepTZs27ll/NIL8qlWrItMn8iLTQZA0cJFGcV+xYkWJ3al5e//+/a1evXo2Y8YMt1yB0oEDB8bkVRP3hx9+2J555hnTCO7BpJqiqtX5/e9/P7IoehAkzVR/oQqWTp061eW544477P7774/k5wUCCCCAAAIIIIBAegIEQNNzIhcCCCCAAAIIIIDACQooiPfiiy+e0NoKNO7Zs+eE1vVXyiQAqqbnGuTID8b27dvXNYk/++yzTY8OHTq45uvTp093QVLtI14A1N+3ntVs/qWXXrKXX37Z9eN58ODByOLHHnvMbrrpJjcdHQBVEFhBYz2rRuzf//53Uw1SNavv3bt3ZH1eIIAAAggggAACCKQWoA/Q1EbkQAABBBBAAAEEEDgJATXf1gA+d955p9uKBhDSdPTDD+qpRmT0/BMNnJ7o4U6ePDkS/HzooYfsr3/9q919992u+XnHjh0jfXdGD26kvkGTJQVNNWr8Cy+8YBol/uc//3kk+6xZsyKvo19cffXVLthatWpVe/LJJ13wU/u57rrr7NChQ9FZeY0AAggggAACCCCQQoAAaAogFiOAAAIIIIAAAgicnEDXrl3dgD5+oFC1KgcNGhTzUNN4pcsvvzxmfr9+/U5u5xmurT4/lTQY0g9/+EP3Ot6fpUuXRmZHD4KkgO3FF19s7du3NzWlD6aaNWva2LFjzR8EatmyZXb8+PFgtpjpHj162G233ebmqS/ScePGxSxnAgEEEEAAAQQQQCC5AAHQ5D4sRQABBBBAAAEEECglgUQDIG3fvt380c79wGAp7TLjzfiDHKk5+rZt2+Kur1Hgo2tuqk9TPxUWFtq8efPcgE7jx4/3Z5d49oOe5557rhsVvkSGwIy77rrLVANVadKkSRYdgA1kZRIBBBBAAAEEEEAgIEAANADCJAIIIIAAAggggEDpCyjg97e//c1tOBjk9Oe3a9fOGjZsWPo7z2CLflN8BULVZH/r1q2RtdV8/fHHH3d9f/oBTC3cvXt3JI9qrKrJu9KcOXPsv//7v92gT36Gffv2uZqlfpkvu+wyf1HS51q1atkTTzzhgqWqSXutN0gTTeGTkrEQAQQQQAABBBCICBAAjVDwAgEEEEAAAQQQQKCsBD766CM3mJFGP9dgQtHJrxmqwX4qOk2YMCEShH366afdSOy9evWyLl26WNOmTd2ARY0bN7Zp06aZ+udUeu+99yKHXblyZRf41Oj1SqNHj7YGDRq49Tt16mSnnHKKG/1dy2688Ub30Ot00oABA2zUqFEuq0aW/+lPf5rOauRBAAEEEEAAAQTyXoAAaN5fAgAggAACCCCAAAJlL+AHOdUfaI0aNWJ26NeGDNYMjclUThMaMf7111+3oUOHuj2qpufbb79tq1evNgU1NUjT2rVrbcSIEdanTx+XZ8aMGTH9eCpYqibqw4YNc4MmadR3ra+gpWqWdu7c2aZOneoe1apVy6hkv/jFL6xly5ZuHQ3Y9MYbb2S0PpkRQAABBBBAAIF8FKjkfahL3ut6PqpQZgQQQAABBBBAAIFSFVAtyZUrV1qbNm3s/PPPj9n2n/70J1c7tH///taqVauYZRU5sWXLFlu/fr2p2fpZZ51lrVu3Tqu/zuhj1robNmywjRs3upqg55xzjhUUFERn4TUCCCCAAAIIIIBAGQsQAC1jYDaPAAIIIIAAAggggAACCCCAAAIIIIAAAhUnQBP4irNnzwgggAACCCCAAAIIIIAAAggggAACCCBQxgIEQMsYmM0jgAACCCCAAAIIIIAAAggggAACCCCAQMUJEACtOHv2jAACCCCAAAIIIIAAAggggAACCCCAAAJlLEAAtIyB2TwCCCCAAAIIIIAAAggggAACCCCAAAIIVJwAAdCKs2fPCCCAAAIIIIAAAggggAACCCCAAAIIIFDGAgRAyxiYzSOAAAIIIIAAAggggAACCCCAAAIIIIBAxQkQAK04e/aMAAIIIIAAAggggAACCCCAAAIIIIAAAmUsQAC0jIHZPAIIIIAAAggggAACCCCAAAIIIIAAAghUnAAB0IqzZ88IIIAAAggggAACCCCAAAIIIIAAAgggUMYCBEDLGJjNI4AAAggggAACCCCAAAIIIIAAAggggEDFCRAArTh79owAAggggAACCCCAAAIIIIAAAggggAACZSxAALSMgdk8AggggAACCCCAAAIIIIAAAggggAACCFScAAHQirNnzwgggAACCCCAAAIIIIAAAggggAACCCBQxgIEQMsYmM0jgAACCCCAAAIIIIAAAggggAACCCCAQMUJEACtOHv2jAACCCCAAAIIIIAAAggggAACCCCAAAJlLEAAtIyB2TwCCCCAAAIIIIAAAggggAACCCCAAAIIVJwAAdCKs2fPCCCAAAIIIIAAAggggAACCCCAAAIIIFDGAgRAyxiYzSOAAAIIIIAAAggggAACCCCAAAIIIIBAxQn8fysMV2KzTIO+AAAAAElFTkSuQmCC" width="672" /></p>
<pre class="r"><code>pdf(here::here( &quot;0_study1_H6_fake.pdf&quot;),
    height = 6,
    width = 7)
print(p)</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## quartz_off_screen 
##                 2</code></pre>
<pre class="r"><code>ggsave(
  here::here( &quot;0_study1_H6_fake.png&quot;),
  height = 6,
  width = 7)</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
<pre class="r"><code># Produce figure sharing_real

g &lt;- df %&gt;%
  group_by(treatment, order) %&gt;%
  get_summary_stats(sharing_real, type = &quot;mean_ci&quot;) %&gt;%
  ggplot(aes(
    x = order,
    y = mean,
    group = treatment,
    colour = treatment
  ))
 
p &lt;- g + geom_point()+
  facet_wrap(~treatment)+
  geom_smooth(method = &quot;loess&quot;) +
  scale_y_continuous(limits = c(0,.4)) +
  ylab(&quot;Sharing real headlines&quot;) +
  xlab(&quot;# Task &quot;) +
  theme(legend.position=&quot;none&quot;)

p</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>pdf(here::here( &quot;0_study1_H6_real.pdf&quot;),
    height = 6,
    width = 7)
print(p)</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
<pre class="r"><code>dev.off()</code></pre>
<pre><code>## quartz_off_screen 
##                 2</code></pre>
<pre class="r"><code>ggsave(
  here::here( &quot;0_study1_H6_real.png&quot;),
  height = 6,
  width = 7)</code></pre>
<pre><code>## `geom_smooth()` using formula = &#39;y ~ x&#39;</code></pre>
</div>
</div>
<div id="additional-supplementary-analyses" class="section level3">
<h3>6.3 Additional supplementary analyses</h3>
<div id="predictors-of-headline-sharing---indices" class="section level4">
<h4>6.3.1 Predictors of headline sharing - indices</h4>
<p>This plot shows regression coefficients for index for the outcomes 1)
sharing all headlines, 2) sharing fake headlines, 3) sharing real
headlines. <strong>Conclusion</strong>: None of the predictors
significantly predict sharing</p>
<p><strong>Predictors</strong></p>
<ul>
<li>Cognitive reflection</li>
<li>Need for cognition</li>
<li>Attention to social comparison information</li>
<li>Trust (as a mean of all the trust measures)</li>
<li>Trust in government</li>
<li>Trust in public health authorities.</li>
</ul>
<p><strong>Controls</strong></p>
<ul>
<li>Gender</li>
<li>Age</li>
<li>Income</li>
<li>Education</li>
</ul>
<pre class="r"><code>load(here::here(&quot;final_data.Rdata&quot;)) # Load study 1

df &lt;- df %&gt;% 
  group_by(resid) %&gt;% 
  mutate(
    mean_all = mean(sharing_all, na.rm = T),
    mean_fake = mean(sharing_fake, na.rm = T),
    mean_real = mean(sharing_real, na.rm = T)
  ) %&gt;% 
  mutate(sharing_disc = mean_real-mean_fake, na.rm = T)

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;, &quot;sharing_all&quot;, &quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_nfc&quot;, &quot;index_trust&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;, &quot;trust_science&quot;)  
controls &lt;-   c(&quot;female&quot;, &quot;age4&quot;,&quot;income_hh&quot;,&quot;educ3&quot;, &quot;vote_next2&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;% 
  mutate(f = glue(&quot;{dvs} ~ {ivs} + {paste(controls, collapse = &#39;+&#39; )}&quot;)) 

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(formula = as.formula(.x), data = df, clusters = resid))) %&gt;% 
  mutate(tidy_model = map(model, broom::tidy)) %&gt;% 
  unnest(tidy_model) %&gt;% 
  # This is just some cleaning if I want to plit the graph
  filter(
    term %in% c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_nfc&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;, &quot;trust_science&quot;) 
  ) %&gt;% 
  mutate(
    where = as.factor(case_when(
    term %in% c(&quot;female&quot;, &quot;age435-54&quot;, &quot;age455-69&quot;,&quot;age470+&quot;,&quot;income_hh&quot;,&quot;educ3&quot;, &quot;vote_next2&quot;) ~ &quot;Demographics&quot;,
    term %in% c(&quot;index_crt&quot;, &quot;index_socialcom&quot;, &quot;index_nfc&quot;, 
                &quot;index_trust&quot;, &quot;trust_health&quot;, &quot;trust_govern&quot;, &quot;trust_science&quot;) ~ &quot;Indices&quot;)),
    term = case_when(
      term == &quot;index_crt&quot; ~ &quot;Cognitive reflection&quot;,
      term == &quot;index_socialcom&quot; ~ &quot;Attention to social comparison&quot;,
      term == &quot;index_nfc&quot; ~ &quot;Need for cognition&quot;,
      term == &quot;trust_health&quot; ~ &quot;Trust health authorities&quot;,
      term == &quot;trust_govern&quot; ~ &quot;Trust government&quot;,
      term == &quot;trust_science&quot; ~ &quot;Trust scientists&quot;),
    outcome = factor(
      outcome,
      levels = c(&quot;sharing_all&quot;,
                 &quot;sharing_fake&quot;,
                 &quot;sharing_real&quot;,
                 &quot;sharing_disc&quot;),
      labels = c(&quot;All headlines&quot;,
                 &quot;False headlines&quot;,
                 &quot;Real headlines&quot;,
                 &quot;Sharing discernment&quot;)
    ))

  
# Create plot
m %&gt;% 
  ggplot(aes(x = estimate, y = term, # Punktestimat
             xmin= conf.low, xmax = conf.high # Konfidensintervaller
            ))+ # Gruppe markør
  facet_wrap(~outcome, ncol = 4) +
  geom_point()+
  geom_pointrange(size = 0.3)+
  geom_vline(xintercept = 0)+
  geom_text(aes(label = sprintf(&quot;%0.2f (%0.2f)&quot;, estimate, std.error)),
            vjust = 2,
            position = position_dodge(width = 1),
            size = 3)+
  scale_x_continuous(limits = c(-.15,.15))+
  labs(y = &quot;&quot;,
       x = &quot;Sharing intentions (and discernment real-false headlines&quot;)</code></pre>
<p><img 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DgpyC1fleuSSy4xN954o5stK/ko3XHHHe6GW+H9N8MMM7h5+qfgssYNvemmm1yA28+QsU6s9T5QvXxSa4OzzjrLHHTQQS4Qq+d6//ukwOzRRx9dsfLTeWxvAbVY9xc0mi3pU0891eyiLIcAAm0goGM2qdt7XBH13afutbqgSkIAgfYR0Dl+mu/tNMu2Ty0pCQII6AbEn3/+eSoI/W7Ub25SZwkQAO2s/Vno2ugqrG8NqJuFNEpqTRg3PqZa9/nA2qqrruruKK7g0gMPPGAefPBBs/vuu5vBgwdXjePzwgsvuDuzK6Cnq0OLLbaYa42nHzm683c4cBgul64OKT/lryCXWvvpjub33nuvCzr27t3brLfeeuFVKs81Dug+++xj7rNBVQUDFbT805/+5AK6lYVCT9QicI011nBBUt0hvl4AVKuoeb9P+uGluqtsCsapdaUCwwq2KiiqYKI+4JtN/i72CuipZae6+Kl1i5JaMSpIq6vkK6+8svtT60qNt6LgrAKIQ4cOdS1kVQ7VXz8m1YpXNztaZZVVqgLGcWVKsw2/vlrmKdg4ZswYtw11XVQgWmVSq13Nu/DCC908Bd4VzFTwUnVRCgcvfZ7+UfteN3HSflfAfLPNNnMtS9VCWIPpX3nllW4bCsj7lqZ+XQ3ALX+N/6ohH/T+V7BV++eQQw5xP7LDrWb9ev5RLZbrpXBAtd4yTE8W0Hu9mVYhykWfHboRStqk40ctgqPvjXr56HNAF15ICCCQj4C+39UKv9mk7820Sb0CdEO01VdfvalV9XkQ7dXS1IoshEDJBHQul7Wrqr63NeZf1qTPjiwBUTU6CN8LIOv2WQ+BMgvo+E36HRS10e+xtElxgOOPP77hb1Ofr26CqN+PpPYWIADa3vunVKVT03Sf6nXx9vPrPepESFdzlcKtEvV6rbXWMhovVGNxKQCq1n4KbKn1ngJYOoFSqzsF4XzSOgra+W7lfrp/VIBE3ZiVr+5Ur7ThhhuaU045xY0TpB889QKgagmiYJma1ysAqgCgXicl3UFagUu1kFRwLtxyU93j1SVPXfAV4FNSS1gFP9VqU/XWo0//93//54YRuP/++83IkSPNMsss42clPsprxhlnNMOGDXN3u1W3e9VFAbdTTz3VBT/VUnSHHXao5LPaaqu5bt1q6ahlFARVHqqvAkwKgCro3aj+abfhC6CAuIKfKpPK5pPGalQLWHVtV+tNzVP3cx8AbVQe5aMgpoKfGgZAVwn9Hb7VQlnGev9oWIXbbrvN3V3Qb1uPCn6qdXH4PaJ9rJZC+sGsuwsvu+yy4VUqz3XivdRSS1VeR58svPDClbJE5/G6OQG1xr7llluaWzjjUhqKIW6YhHrZaZwy30q53jJMRwCB5gX0/ffnP/+5+RUyLqmLq80mnU/o/IKEAALJAjq/1A0GeyLpgnzaoaRUTt3gVQ0ySAggkF1ANxmcf/75s2fQxJpqMRr+7dxolSeeeKKqgVWj5ZnfMwKEqHvGna3GCPirqGr5EDd+ZswqNZPU0lCt/dTVPS54pS7NapWpoKOCbkovvfSSG2vTt0AMZ6oTm3DALDzPP1eePvjppyn4paRWrXkmddNWq8svvvjC6EM2nNRyUEmtRP34kbqrupLqEP0AV918axQFM9Okbbfd1gU/tY7v0qeWt2pNqX3nu46H81SwUQFnBWllniVl2YbGGVVrTAUmNbRCOKl1pbrzK+iYdYwXBU6VNCatD376bag1qX//xLUOVNB03XXX9Yu7R03zwwTk/f6p2hAvEEAAAQQQQAABBBBAAAEEECiJAC1AS7Kji1BNtVxUUis/Ba2iN9Zppg4KdCktvfTSsc3V1WJSdxtXYEmt/pRef/1196hu73EpqZWdllewNZqmn356Nylrt5xofuHX6t5+2mmnmTvvvNN1m/fz9Fop3P3de6g5voKH0aQu20reIjq/3uu4OvttKcCsFq1xSS171eVX24vrwh+3Tnhalm3oCqHSAgssUAnWhvPUsAP6y5K0f/04s/Va0PrpCrqr1Wa4S7vG+ozr+qzxRTUsQ1L3a62noH29FN5OvWWYniygiw3Nvje0r9TSN0vSZ1K4NXdSHioTCQEE8hNQl7Vmj3NtVecMGrYibdLnvXo+NJP8hcVmlmUZBMosoKGwsp5rt/K9LXMNR6PeNmmTzkdJCCDQmoCOv2a/u/X7S731siTFB5KGQgvnOemkk4Zf8rxNBQiAtumOKWOxwq0+1TU4SwDUB/IUhKuXfL4KSCn5AJkPWkbXU5AwKZjkg4jh9XwLzK4Yh1EtPNWVXN1n1OVf4wipVaW6wPsWoiqLuqr7H2n+hkjhMoafq7u1xu1s9gPeG4bz8IFABe40tmdS8nezT1ombl6Wbfj9G75pUVzeWaZpaAR9qepLuF43KLUC1ftHJ+jRwH7ce0flaCYYpqC2hkOol9T1XuPjkLILaKiMNEk/al599dU0q7iW2VlPylJtiIURQCBWQBeS1A2+2aQbKRx66KHNLl5Z7vrrr6drXEWDJwjkI6AbkbaSsnxv++1pyKQ0nx1+PR4RQKB1ATXGSXP8qbFB2oYKOsbTrtN6zcihqwUIgHa1MPk3LaCgpYKgGgtULf38OJZJGWj8RLWoUPdqBf984CjparDGrFTyQU2/joKJcUmBwWjLvfBy3T3YsVrKrrTSSu5GSxrfU+OU+u7v4daf4TLutttuFZvw9KzPkwKl+oJptO905/VWUppt+CBg0nsia1n8e0fvDwW741pzap7+lPx7zm+vu987frs8do2AhkHQDbXSpLgbuaVZn2URQKB7BTSUyqBBg4w/l2hm67rJXaPeJM3kwzIIIJCvQJbv7XxLQG4IINAdAjrW/c1tm92e1iF1ngAB0M7bp4WtkYJHGhhcN/h45JFHasZrjFZMLa38wOcKgCr5cRyTxk7UGKFKfrxGdUtTqreOX94t1Cb/FOjUneZ1MyQNAK9HBeP8mJ4qpu4gq1aJagWqLgKtBh0bVd07qkWqbh7TFSnLNmaeeWZXFLVyjUv6EavhA7TckksuGbdI3WlqVaqgpoLkn332mbsLfHRhtfr0Kc3Nbvw6PBZHQCdWukO0WmQ3m5KGMWg2D5ZDAIHuE9B5xsCBA93NE5vZqr4jTj/99NgLZM2szzIIINB1Avre1k1Cmx2bXt/Z6ulEQgCBYgmoZ9yFF14YOyRcXE3USEX3iSB1ngA3Qeq8fVroGukuqfqxoDEkhw8fXrcuGrdHdxNXUgsqf9MY3UlcSTc4imud8c0337g7o2sZtchQ0nihSiNGjHBdyt2L0L+uvgu0bwXoWyqGNl33qQKaai371FNPua7w6u6uu9hGA2wac1NJd3qPS6qbWrMce+yxcbNTTfPbeu6559xNmqIr627X+vLZddddM4/DkmUbfh0FpeQUTSqvhgg4++yz3Sy/P5oZvkDv1dlnn92tpyB0XPLT641BGrcO04opoHH7br75ZuM/h5qphd5DJAQQKJbAYYcdVrnBXaOSq4uuem2QEECg/QT0va1z4Wa+t9UdVkNZkBBAoHgCGp5ON65tdix9DW+mP1LnCRAA7bx9WugazTbbbJXWg3//+9/dVdnoeJEad/Fvf/ubu1qrrtjh8SbVglQfbGPGjHHjZPqux0JRF2i1wlAQTEErH/hcdNFFXQtJTVcgMNwV/q677jI33HBDl5r6mx2kaWmqoIm6visQrDopxXV/93cgv+qqq2rGMNH2zjjjDPPee++ZpDFTm628uqUrqKwg80knnVQTgD7nnHPMK6+8YjS+63zzzddstlXLZdmGtqUbEX377bdGZQgHmseOHWvOP/98t41+/fq5R78/9N759NNPq7Yf98IbX3bZZebNN9+sWkStlGWvpOA+qfMFFHDXmEQ77LBDbIsvBdjXXHPNzoeghgh0sIB6rKglyXnnnWeSxpdefvnlTf/+/TtYgqohUHyBZr63d9ppJ/fdrt8pJAQQKKaAehLqHH3AgAHGN3gJ10Tf7T7oGTc/vCzPiytAF/ji7ruOLblaCCqIppZUF110kfvTTXcUyFI3dQWZFMxUEFDjcIXvJq4PqwMPPNDsv//+LnCpLi3LLrusC3o99thj5q233nJ3bddd1P34jYLUuH0HH3ywa0254YYbuhalCn4pSKgWpi+//HLN+I157QB/Q6Fbb73VBQgVxG1mzBEFPC+//HI3ZurUU0/t6hktkwKGG2ywgbvipUBx3759ja5g6y62TzzxhFEAUPXbeuuto6tmen3AAQe48VU0Nql+9GksUDmrRa7GddUXi24e0cpd8rJsY++99zZ77LGHe0/ppkgKiGrfqpwyUBB8s802c3VWUF03J1IQXcFN/bg94YQTXIvbOJQ+ffqYVVZZxQ1JoPeuAqn6gtUNudT6U+9V2evmVaRyCOj9o88uXcS5/fbbXdBfNVcLE124UGtkP25vOUSoJQKdKaAfUdtvv73rQfLMM8+4IWd0HnL88ce7Cte70V1nalArBIor4L+3jzvuONcDTRfrlfz3tu43oKSGByQEECiugHpL6uLlMccc4451xQbU608XQnSOrl6W+m1I6lwBAqCdu28LWzP9eFAwUh9Ausu1uiir1af+lBT41LiXChL68R3DlVVA9NJLL3WtENVFXME+Jd2NWy2vdEMgBQzDSUHIc88917Xo0Ng+CrLObluJbrTRRkYBrq222srdbT28Tl7PFch88sknXfBVH8IaQ7OZpCCbH4tI9QoHdMPrK7i72GKLmaFDh7ogncYOVVKgT60SFeTzV7vC62V5ri8PtYQ85ZRTXNBz2LBhlWzUMldd4JdbbrnKtCxPsmxD+1LvCXV115U/tURV0ntJBrqyH/Y74ogjXGtgBUG/+OILF7zVkAP10tFHH+3GrlWLIAW8lJSfur2vs8467q/eukzvXAH9YFJL0GhKM0ZodF1eI4BAewnou1Q/mvSnpPMHHwBtr5JSGgQQaCSgHlFx39uN1mM+AggUS0ANXHQBk1Q+AQKg5dvnhamxWivqT13SdSMZBaIUhNLJSThYFVchBR4GDx7sbk6jlngK8PkbJMUtr2m9evWKHez4tddec6vopkLhpBvn1Esq44MPPlgzO67Vl+qiAJquKivg5luM6EZCjW4m5MetrNlQZIJujqQ/3RBJXd5VF5XRd/eOLF73pQ+e1l3AzlBwWUMJqOXjBx984Frzalu+XtF11fo0rgWqArO+e3l0nbTb0Pp67ygAqhsWqTWqAu0KIscZaHgE3YxL+0P7RzeTUorbf26G/aeWw/obPXq0e7+qpe1EE03kZ1c9brnllkZ/9dLhhx9u9EdCAAEEEEAAAQQQQAABBBBAAIHWBQiAtm5IDl0soBaRavWXJallRqPBjnXDJQXs1EoyLujkA51qzdeVSYMz+y42XbUdBfK6667TChyq5WVXpizb0Hti3nnnbapY9YK2SSsr0JrUWjRpXeYhgAACCCCAAAIIIIAAAggggED+AtwEKX9TciyYgIKrn3zyiRsHRHd39DdB0qOCn9dee63rKq2uzCQEEEAAAQQQQAABBBBAAAEEEEAAgWIJ0AK0WPuL0naBgLqD77fffq7L/JAhQ9xd1dU1+v333ze6E7jGiTzqqKPMkksu2QVbJ0sEEEAAAQQQQAABBBBAAAEEEEAAga4UIADalbrkXRgBjd2obtFq7ak7P2qsTI0DufDCC7u7q3d19/fCQFFQBBBAAAEEEEAAAQQQQAABBBBAoGACBEALtsMobtcJLLjggmbQoEFdtwFyRgABBBBAAAEEEEAAAQQQQAABBBDodgHGAO12cjaIAAIIIIAAAggggAACCCCAAAIIIIAAAt0lQAC0u6TZDgIIIIBASwIvvviiuemmm8yzzz7rxudtJbOseQVBYK655hqj9bsqZS1bXHlayevll182V155ZVy25p577jEHH3yw+fHHH2PnMxGBrAKff/65uf/++81tt91mRo8enTUbt16WvFo5ZqKF/eKLL8y+++7rhtWJzstStmge/nUreSUd5xoH/ZBDDnE3ifTb4hGBNAJ5Hk9Z88rre/uYY45x3/9x9c9atjzy+umnn8wrr7xibr75ZjNixAjz4YcfxmXL93asChPzEujJY8DXIa9jXfnpuIpL7VBPlSvpu5tz9Lg9F5pm3ygkBBBAAIEOExgwYECw0047dUSt7Jd8sNxyywX2q6vyZ29eFpx55pmp69dqXgMHDnRlOO6441Jv269gA4eVeuy1115+ctBq2SoZ2Set5vXBBx8EM844YzD++OOHs608//TTT4MpppgikEcnJhv4Dey40MHPP//cltWzN+YL1lprrbYsWyuFOvbYY4NJJ520cnzomNex//HHH6fONm1erR4zvoBvvPFGpfyqy5ZbbulnVR7Tlq2yYsyTVvJqdJxrc4cffngwzTTTBJ988knM1os5yQbY3fH97rvvtmUFzj///GCRRRZpy7I1W6i8jidtr9W88vje/uc//xnYm6IGzzzzTOX4tvcJaLlsYc8s9Rw2bFgw22yzVcrkz5PWWWed4K233gpnH3T697av7JtvvumO74cffthPaqtHe3HPlc9e4GurcmUtTJb3bb1ttZpXHsf6lFNO6Y6nSSaZpKqYrZYtnFmreTX67u7kY/377793x4+9b0uYNNVzk2ppFkYAAQQQKIRApwRAFfiYZZZZ3MnIpptuGlxyySWBgj/TTjutm3biiSc2vT9azevqq6+u/MjIGgAdNWpU0KtXr0o+PgDaatnCCK3m9c033wT2JnCujPUCoNreCSec4AKkzz33XHjzHfGcAGj370YF8vTjXYF3vbcuvvjiYL311nPT5pprrlRB0LR5tXrMhLXCAdBxxhkneOedd8Kzg7Rlq1o58qKVvJo9zr/++utguummC7bYYovI1ov7kgBo1+67PI+nVvPK63t7qqmmCnbZZZfA9nqofH/PN998PXp+ct1117myjDfeeIHOJa644opg6NChwfLLL++mzzzzzMGYMWOqdnYnf2/7ihIA9RJd/9jq8RkuYat55XWs63tb5yJqaOFTq2Xz+eix1bya/e7u1GOdAGj43cRzBBBAAIGKQKcEQHVSrxMR/fAIJ9vdK5h88smDiSeeOPjss8/Cs+o+z5rXV199Fey+++6BPylSebIGQHfcccfgD3/4g6uT8vEB0Kxli6tsK3ndfffdwRxzzFEpX1IAVCdhahnWt2/fuGIUehoB0O7dfbbLZjDBBBO44znaaknHvo6VQw89tKlCZcmrlWMmWqhwAPSPf/xj1ewsZavKIPSilbzSHOfapH5IaR/cd999oRIU9ykB0K7dd3keT1nzyvt7W0FGtRgOB0Cnnnpqd1z0xPmJ7Z4b+O3bru9VO/TXX3+tXDySXzh18ve2rycBUC/R9Y9Zj8+4kmXNK+9jXd91+gsHQLOWLc96Kq80392deqwTAI17VzENAQQQQCDohACovuQU4NSJiAKe0aRgouYNHjw4Oqvmdda81IVq1llnddtRS9Q11ljDPc8SAP3oo49ckMe3rlTZdVKVtWw1lbQTsualH0waMkFl0p+3TQqAavsKDGv5kSNHxhWnsNMIgHbvrjv66KPd+yiuu7iCDrr4oFaIen83SmnzynrM1CtHOAC6wgorVC2WtmxVK0deZMkr63Guzy5duFl77bUjpSjmSwKgXbff8jyesubVFd/ba665pkMLB0D9RdGeOD959NFH3WfmEkssEbszH3jggbrzO/V720MQAPUSXfuY9fiMK1XWvLriWJ9wwgndseMDoFnLlmc9s353d+Kxrv2hIapa6QLPTZDsLzcSAggggED7CdixtszYsWPNYostZuaff/6aAm622WZu2g033FAzLzoha1633nqrsWPtmK222srYrt7GBi+jWTf9+owzznA3DerTp0/VOlnLVpXJby+y5mXHujQXXnihsUFeY7vVmXPOOScu+5ppdlgCN+3kk0+umccEBJoVsD9i3KK2m3XNKrYVpVlmmWWMHdPKPPTQQzXzoxPS5pX1mIlu17/WjY98smOJ+afuMW3ZqlaOvMiSV9bjvHfv3sYGc83tt9/ubrwQKQovEagI5Hk8Zc2rK763/flGpaL2iQ1w9Nj5ie19YezFX3PggQeGi1R5bscfds9t67jKNP+E720vwWMrAlmPz7htZs2rK471iSaaqKqIWctWlclvL7LmlfW7m2M9bi8YQwA03oWpCCCAAAI9LKCAo9Lss8/uHqP//HQ7mHh0Vs3rrHkpWPnCCy+4u6Hb7mY1+aaZcNlllxnbjc4FEsLrZS1bOA//PGtetnWXsWOHGdv92GyyySY+u4aPK6+8srEt84yC0N9++23D5VkAgTiBrO/bPPLKc9sqz5133lkplm0hVnmuJ3luK0teWY9zlV0BIAV87DiDeklCIFYgy/syNiM7MWteXfG9veGGG8YW05+HRGf66V11fjLPPPOYAw44wGyzzTbRTbvX9kY77jHuoi3f27FkTEwpkPX4jNtM1ry64li3Pc+qipi1bFWZ/PYia15Zv7s51uP2AgHQeBWmIoAAAgj0uMDnn3/uymBveBRbFh+QtGOAGts9JHYZPzFrXrbbm1looYV8NpkfbbdY15LU3szF2LFLq/LJWraqTH57kTUve3dbs9tuuxk7DmNctnWnaT39wLLjkZkHH3yw7nLMQCBJoNn3rVqBNkpp82p2+WY+Z1S2xx57rG4Rm91WV9RThcp6nGvdZZddVg/mnnvucY/8QyBOoNn3eDPHU9a8uuJ7Wy0u41JPnp/ElUfT3n77bWNvEGl0AcYOh1SzGN/bNSRMyCCQ9fiM21TWvLriWFewMZyyli2ch3+eNa+s390c616++rF6D1fP4xUCCCCAAAI9JvDll1+6bdf74WHvylop23fffVd5Hvckz7zi8m80zQcH7XiiNYvmWbY886opaJ0Jvk6+jnUWYzICsQI//PCD0Z9SvWPdX+xodJxnySvvY+aJJ55oy3rGFirFRH+cP/nkk8aOwZViTRYtk0Cex1OeeWXZB/47zb/34/Ko95nVU+cnuniioNDXX39tdt11V9OvX7+4YhtfJ1/H2IWYiECCQJ7HZ555JRS57ix/HPjjIrxgnmXLM69wGZOe+zr5OiYtW5Z5BEDLsqepJwIIIFAwATsQeWKJ1R3Tp+gVWz/dP+aZl88zzaO9Y7Nb3J+IhNfNs2x55hUuY9JzjdGo5OuYtCzzEIgKaFgItVJISr6Fd6PjPEteeR4z+kyq13ozS9nqmeSZV71tRKfPOOOMxt4Uzfzyyy9m1KhR0dm8RsAJ5Hk85ZlXlt3jv9Pivrcb5dcT5yf2hnFGXV7V42SVVVZxY4TWKyff2/VkmN6sQJ7HZ555NVv+8HJJx3qeZcszr3D5k55zrNfqEACtNWEKAggggEA3CNx3331mpplmqvlbbrnl3NY1T0ld5eKSn65gwCSTTBK3SGVannlVMk3xxAdF4n5I5Vm2PPNqtnq+Tr6Oza7HcuURWG+99WqOc71X7V08XfBz+umndxj+mI7K+OlTTDFFdFbVawVS0+aV5zGj7m0KEMalLGWLy0fT8syr3jai09WdVjdJU+JYj+qU5zXf29X72n82VU/9/bylu85Pnn76aaNzJ3tHevN///d/5t///nfieRHf29E9xuuoAMf6/0TyPEfIM6/o/qr3mmO9Vma82klMQQABBBBAoOsF1F31448/rtmQvwNjsycK9bqghTPOM69wvs0+9y3Y4gK1eZYtz7yarZuvk69js+uxXHkERo8eHXusjx071iHofavPAgUTZp555hoYH2TwXeFrFghNSJtXnsdMo2MgbdlC1ap5mmdeNZnXmcCxXgemRJP53q7e2f6zqXrq7wHQ7jg/0Q2PtthiC/PNN9+YnXbayZxzzjnuhovRMoVfcyyHNXgeJ8Cx/j+VPM8R8swrbp/FTeNYr1UhAFprwhQEEEAAgW4Q6Nu3r3n//fdrtqQWE0o+EPLmm2/WLKMJumO50hJLLOEek/7lmVfSdurNU/dRpTFjxtQskmfZ8syrpqB1Jii4pdS7d+86SzC57AI333xzZZzPsIUPaOp9+9RTTxkd64ssskh4EffcH+tLLrlkzbzohLR55XnMKNihz6+ff/45Wiz3Om3ZYjP5bWKeeSVtJzyPYz2sUc7nfG9X7/eePj+54oorzPbbb+9uBHnccceZww47rLqAdV5xLNeBYXJFgGP9fxR5niPkmVdlRzV4wrFeC0QX+FoTpiCAAAIIdIOAxsJRl8ronw8WLrroomb22Wc3zz//vHn11VdrSjRs2DA3baWVVqqZF52QZ17RvJt57YODcV1H8yxbnnk1Uy8t40+u/H5rdj2WK4/AdNNNV3Oc67j3LRPWX399h+GP6bCMxrNT985evXqZxRdfPDwr9nnavPI8ZtRNvN5doVXYtGWLreBvE/PMK2k7fp7GNPQXcDjWvUr5Hvne/n2fa0zcnjw/ufPOO13wU587l112WdPBT9WA7+3f9yPP4gU41v/nkuc5Qp55xe+12qkc67UmBEBrTZiCAAIIINAGAhrnbr/99nMlGTRoUNXYerrT8g033GDUXX7nnXeuKu2IESPMHXfcUXWjjqx5VWXcwgsfuHn22Wdrcslatvfee8/V86GHHqrkmTWvSgYZnvg6NdMSN0P2rFICgW233dbMMMMMRi1FR44cWamxxtM88sgj3etddtnFhG8gEPf+14Jp88r7mFlggQUq5Y8+SVs2rZ9XPaNlSfv6pZdeci1bF1xwQTPBBBOkXZ3lSyKQ9Xgq2ve2dqfv3p7m/CTueM5i9v3335vddtvNnReddtppZptttkn1DuN7OxUXC8cIZHnfKpuiHetZ65nXsR5Dn2oSx3oMl72iS0IAAQQQ6DCBAQMGBHYsqMLX6uuvvw7mnHNO3e49WHHFFYOTTz45sEHRYPLJJ3fTTj311Jo6TjXVVG7eVVddVTUvS15VGdgXtnuZy9t2NYvOSnxtxwYM7Ng/gT2RCm666SaXh+q01157ufWylM3+6HH5zDfffFXbzpJXVQb2xY8//ujyti1corNqXtvWYIENiARffvllzbyiTrjyyiuDeeedN7BdmduyCkcddVSw1lprtWXZshbqrLPOcu+5ySabLNh3332DwYMHB7Z1t5s299xzB7b1dFXW9d7/WihtXnkcM75wxxxzjCuzju91113XT648pi1bnvWsFOK3J2mO86FDh7p6HXroodFsCvf6/vvvd8e3vWt2W5b9/PPPD+xQEG1ZtmYKleV4avfv7a+++spV3R8zOr7txY7U5yf1jue0ZjoHURn0ZwOxdf/sDVBid1knfm/7itphCdzx/fDDD/tJbfVox2x15bMt89qqXFkKk/Z9q220+7GuY0PHlc5FfMpSz7yOdV+G8KP/HCrjObq9+OOOH3sTzTBJqucm1dIsjAACCCBQCIFOCYAK23a7DOxdpF3w0J/w226mwdlnnx27L+qdXGXJK7qBrAFQ5bPrrru6k6pwgMQHQLOUrd7JVZa8tE44NXty9fLLL7s6rb766uHVC/+cAGjP7ELbBT6w3eXde8of62uvvXbw9ttv1xQo6f2vhdPkpeXTfs5onbhkW2RXyh8XANU6acqWdz3DZW72ONc6m2++uatXuwYVwvVq9JwAaCOh1uenPZ7a/Xv7lltucSj+mNHn08ILL5z6cyPpeE5jpu9c/xmZ9GiHGanZmZ36ve0rSgDUS3TPY5r3rUrU7se6HZvcHVvhAKjKnbaeeR3r2nY0+c+hRgHQTjzWCYBG3w28RgABBBBwAp0UAPW79Ntvvw0ee+yx4MUXXwz0BdhKyjOvZsthxzENdLKilqz+B0s4AOrzybNseeblyxd+/Otf/+rqcvfdd4cnF/45AdCe3YUKeCqQOGrUqJYLkjavVo8ZO2Zp5fju06dPYvnTli0pszzzim7H3uk6sMONuBa50XlFfE0AtPv2WqvHU7ikeeYVzjfpuf/e3mSTTdxiPvDgA6B+3TzLlmdevnzhx0793vZ1JADqJbr3Mc/3bZ55Navgj3V91+n4jgZAfT55li3PvHz5wo+deKznEQDlLvD2HU5CAAEEEGh/Ad0wZdlll82loHnm1WyBbFd1s+eee5ozzjgjcZU8y5ZnXtFC607Xl1xyibuxS79+/aKzeY1AZgHd/Ex/eaS0eeV5zLz//vuJVUhbtqTM8swrup3LL7/c/PDDD2bIkCHRWbxGIFEgz+Mpz7wSCx2a6b+37dAVRjcxnHLKKUNzf3+aZ9nyzOv3Ev7vGd/bURFe5yWQ5/s2z7yarZ8/1u3QWomr5Fm2PPOKFppjPSry+2tugvS7Bc8QQAABBBDoUgHdLEEnPJ2QFBT5/PPPjR2XtROqQx0QyF1AAVDbejL3fLszw59++smcfvrppn///mappZbqzk2zLQTaQkDf23bc8YYXL9uisA0Kwfd2AyBml1pAx/o444zTEQYc6/V3IwHQ+jbMQQABBBBAIFcBtR5RIKHoyXZBcXfn3nvvvc0888xT9OpQfgS6RGC88cYz9mYlXZJ3d2V63nnnGTsUQeHr0V1ebKfzBPS9ffTRR5tTTjnFfPzxx4WtIN/bhd11FLybBHSs62KHkr15aTdtNf/NcKwnmxIATfZhLgIIIIAAArkKrLPOOrnm1xOZ2buYGnW5HThwYE9snm0iUAiBhRZayIwcOdJ8+eWXhShvtJC//PKLGT58uDn++ONN7969o7N5jUBpBOxNDM2qq65qrr/++sLWme/twu46Ct6NAr6XlrqQFzVxrCfvOcYATfZhLgIIIIAAArkKjDvuuLnm1xOZbbzxxkZ/JAQQqC+goKG9e3T9Bdp8jj6rilz+NueleAUS0LFw8803Gw0Jsf/++xeo5L8Xle/t3y14hkA9Ad8FfoIJJqi3SNtP51hP3kW0AE32YS4CCCCAAAIIIIAAAggggAACCCCAAAIIFFiAAGiBdx5FRwABBBBAAAEEEEAAAQQQQAABBBBAAIFkAQKgyT7MRQABBBBAAAEEEEAAAQQQQAABBBBAAIECCxAALfDOo+gIIIAAAggggAACCCCAAAIIIIAAAgggkCxAADTZh7kIIIAAAggggAACCCCAAAIIIIAAAgggUGABAqAF3nkUHQEEEEAAAQQQQAABBBBAAAEEEEAAAQSSBQiAJvswFwEEEEAAAQQQQAABBBBAAAEEEEAAAQQKLEAAtMA7j6IjgAACCCCAAAIIIIAAAggggAACCCCAQLIAAdBkH+YigAACCCCAAAIIIIAAAggggAACCCCAQIEFCIAWeOdRdAQQQAABBBBAAAEEEEAAAQQQQAABBBBIFiAAmuzDXAQQQAABBBBAAAEEEEAAAQQQQAABBBAosAAB0ALvPIqOAAIIIIAAAggggAACCCCAAAIIIIAAAskCBECTfZiLAAIIIIAAAggggAACCCCAAAIIIIAAAgUWIABa4J1H0RFAAAEEEEAAAQQQQAABBBBAAAEEEEAgWYAAaLIPcxFAAAEEEEAAAQQQQAABBBBAAAEEEECgwAIEQAu88yg6AggggAACCCCAAAIIIIAAAggggAACCCQLEABN9mEuAggggAACCCCAAAIIIIAAAggggAACCBRYgABogXceRUcAAQQQQAABBBBAAAEEEEAAAQQQQACBZAECoMk+zEUAAQQQQAABBBBAAAEEEEAAAQQQQACBAgsQAC3wzqPoCCCAAAIIIIAAAggggAACCCCAAAIIIJAsQAA02Ye5CCCAAAIIIIAAAggggAACCCCAAAIIIFBgAQKgBd55FB0BBBBAAAEEEEAAAQQQQAABBBBAAAEEkgUIgCb7MBcBBBBAAAEEEEAAAQQQQAABBBBAAAEECixAALTAO4+iI4AAAggggAACCCCAAAIIIIAAAggggECyAAHQZB/mIoAAAggggAACCCCAAAIIIIAAAggggECBBQiAFnjnUXQEEEAAAQQQQAABBBBAAAEEEEAAAQQQSBYgAJrsw1wEEEAAAQQQQAABBBBAAAEEEEAAAQQQKLAAAdAC7zyKjgACCCCAAAIIIIAAAggggAACCCCAAALJAgRAk32YiwACCCCAAAIIIIAAAggggAACCCCAAAIFFiAAWuCdR9ERQAABBBBAAAEEEEAAAQQQQAABBBBAIFmAAGiyD3MRQAABBBBAAAEEEEAAAQQQQAABBBBAoMACBEALvPMoOgIIIIAAAggggAACCCCAAAIIIIAAAggkCxAATfZhLgIIIIAAAggggAACCCCAAAIIIIAAAggUWIAAaIF3HkVHAAEEEEAAAQQQQAABBBBAAAEEEEAAgWQBAqDJPsxFAAEEEEAAAQQQQAABBBBAAAEEEEAAgQILEAAt8M6j6AgggAACCCCAAAIIIIAAAggggAACCCCQLEAANNmHuQgggAACCCCAAAIIIIAAAggggAACCCBQYAECoAXeeRQdAQQQQAABBBBAAAEEEEAAAQQQQAABBJIFCIAm+zAXAQQQQAABBBBAAAEEEEAAAQQQQAABBAosQAC0wDuPoiOAAAIIIIAAAggggAACCCCAAAIIIIBAsgAB0GQf5iKAAAIIIIAAAggggAACCCCAAAIIIIBAgQUIgBZ451F0BBBAAAEEEEAAAQQQQAABBBBAAAEEEEgWIACa7MNcBBBAAAEEEEAAAQQQQAABBBBAAAEEECiwAAHQAu88io4AAggggAACCCCAAAIIIIAAAggggAACyQIEQJN9mIsAAggggAACCCCAAAIIIIAAAggggAACBRYgAFrgnUfREUAAAQQQQAABBBBAAAEEEEAAAQQQQCBZgABosg9zEUAAAQQQQAABBBBAAAEEEEAAAQQQQKDAAgRAC7zzKDoCCCCAAAIIIIAAAggggAACCCCAAAIIJAsQAE32YS4CCCCAAAIIIIAAAggggAACCCCAAAIIFFiAAGiBdx5FRwABBBBAAAEEEEAAAQQQQAABBBBAAIFkAQKgyT7MRQABBBBAAAEEEEAAAQQQQAABBBBAAIECCxAALfDOo+gIIIAAAggggAACCCCAAAIIIIAAAgggkCxAADTZh7kIIIAAAggggAACCCCAAAIIIIAAAgggUGABAqAF3nkUHQEEEEAAAQQQQAABBBBAAAEEEEAAAQSSBQiAJvswFwEEEEAAAQQQQAABBBBAAAEEEEAAAQQKLEAAtMA7j6IjgAACCCCAAAIIIIAAAggggAACCCCAQLIAAdBkH+YigAACCCCAAAIIIIAAAggggAACCCCAQIEFCIAWeOdRdAQQQAABBBBAAAEEEEAAAQQQQAABBBBIFiAAmuzDXAQQQAABBBBAAAEEEEAAAQQQQAABBBAosAAB0ALvPIqOAAIIIIAAAggggAACCCCAAAIIIIAAAskCBECTfZiLAAIIIIAAAggggAACCCCAAAIIIIAAAgUWIABa4J1H0RFAAAEEEEAAAQQQQAABBBBAAAEEEEAgWYAAaLIPcxFAAAEEEEAAAQQQQAABBBBAAAEEEECgwAIEQAu88yg6AggggAACCCCAAAIIIIAAAggggAACCCQLEABN9mEuAggggAACCCCAAAIIIIAAAggggAACCBRYgABogXceRUcAAQQQQAABBBBAAAEEEEAAAQQQQACBZAECoMk+zEUAAQQQQAABBBBAAAEEEEAAAQQQQACBAgsQAC3wzqPoCCCAAAIIIIAAAggggAACCCCAAAIIIJAsQAA02Ye5CCCAAAIIIIAAAggggAACCCCAAAIIIFBgAQKgBd55FB0BBBBAAAEEEEAAAQQQQAABBBBAAAEEkgUIgCb7MBcBBBBAAAEEEEAAAQQQQAABBBBAAAEECixAALTAO4+iI4AAAggggAACCCCAAAIIoJGkNQAAQABJREFUIIAAAggggECyAAHQZB/mIoAAAggggAACCCCAAAIIIIAAAggggECBBQiAFnjnUXQEEEAAAQQQQAABBBBAAAEEEEAAAQQQSBYgAJrsw1wEEEAAAQQQQAABBBBAAAEEEEAAAQQQKLAAAdAC7zyKjgACCCCAAAIIIIAAAggggAACCCCAAALJAgRAk32YiwACCCCAAAIIIIAAAggggAACCCCAAAIFFiAAWuCdR9ERQAABBBBAAAEEEEAAAQQQQAABBBBAIFmAAGiyD3MRQAABBBBAAAEEEEAAAQQQQAABBBBAoMACBEALvPMoOgIIIIAAAggggAACCCCAAAIIIIAAAggkCxAATfZhLgIIIIAAAggggAACCCCAAAIIIIAAAggUWIAAaIF3HkVHAAEEEEAAAQQQQAABBBBAAAEEEEAAgWQBAqDJPsxFAAEEEEAAAQQQQAABBBBAAAEEEEAAgQILEAAt8M6j6AgggAACCCCAAAIIIIAAAggggAACCCCQLEAANNmHuQgggAACCCCAAAIIIIAAAggggAACCCBQYIGODoAOHjzY7LzzzmavvfYyP/30U8Pd9Msvv5iPPvoodrn3338/dnp3TYwr21133eXqd/HFF3dXMVJtp6fNUhU2p4X33ntvt0/GjBnTUo4333yzy+fqq69uKR9WThZo92MoufTMReB3gc8//9y89dZb5ssvv/x9Is8QQKDtBEaPHu2O1W+//bbtykaBEECgGAL6XavfWfr7+eefi1FoSokAAhUBHbcffviheffdd82PP/5Ymc6Trhfo2ACoTjAVRHrttdfMc889Zx544IFEzVdffdXstNNO5p577qlaToHHc845x82rmtGNL+qV7bPPPnP1GzVqVDeWpvGm2sGscSm7ZonXX3/d7ZNWT0b0/tV797///W/XFJRcnUC7HkPsHgSaEfjmm2/M0UcfbeaZZx4z9dRTm7nnnttMOeWUZoEFFjAnnHCC+e6775rJhmUQQKCLBT755BNzwAEHmJlnntlMN9107ljt1auX+dOf/mTOO+88o/MmEgIIINBI4NFHHzUbbrihmXzyyc0f//hH96fnG220kXnssccarc58BBDoYYFnnnnGbL755maqqaYys8wyi5l99tnNZJNNZtZee21z77339nDpyrH5jg2A3nHHHebXX381q6yyituTN954Y+Ievf32290V+ehC+oF5xRVXNNWCNLpuXq/rlW3eeec1m2yyiVlqqaXy2lQu+bSDWS4VyZDJBhts4PbJJJNMkmFtVulugXY9hrrbge0VT+DZZ581Cy20kBk0aJB58803qyqgi2Z/+9vfzKKLLmpefvnlqnm8QACB7hXQ+aguUgwZMqSml9GTTz5pdt11V7PCCiuYjz/+uHsLxtYQQKAwAvpNe9BBB5k///nP5qabbjLff/99pexjx441+p27/PLLm0MOOcT9/q3M5AkCCLSNwDHHHGOWXHJJc+211xrFS3xSC1DFe1ZddVWz22679WjcyZepkx/H69TK3Xrrra5qOrFUC1D9WHz77bfNHHPM0TFVXmKJJYz+SO0jsMcee7RPYShJQwGOoYZELNCGAgp46iRJ3d6TkrrE6yKggiyzzjpr0qLMQwCBLhDQcDjrrrtuwy6qjz/+uFl99dWNWnepJQgJAQQQCAscfPDB5pRTTglPin1+4oknmiAIjB5JCCDQPgLHHXecOfLIIxsW6Nxzz3XnDBdccEHDZVkgm0BHBkCff/55NyaKfvCpu5F+AP7rX/9yV8z222+/Kil1O3rvvffMV1995aarS6wCpVNMMYW7gubHBNWXiaYrzTbbbOYPf/i98ayuymkMFv0oVX660q9uCeOOO65bPvzvnXfecetqvvLUttVCR90X5ptvPjPttNNWFk8qm7o7aqw3lVcny+H1fAbqhq0fwCq3yqLukTIZb7za3Z6mXD7/uEd13W7GLE3Z4rYTniaDV155xWjbM8wwg2tKPuOMM4YXqXmuZbW/1C1N75G55prLdR2tWTA0Qfv5jTfecF3Tp5lmGtfNVPshnDSOh5ar56ztahmN+aF9rqbvej+NP/744Wxaeq73hZrX6+qwyrHggguaccYZJzbPNPsh+h7Ra7mr6b7eu+H3u7ruqwwTTjih2772Szj5964c5aD98OKLL7oxUHT8aH8kpWYdv/jiCxck0vEx0UQTmaeeesodd2o1PcEEEyQeQ135vvL1V7l0/GosOFnKTXXXX57viSRL5hVPQMO1NAp++lrp2NLVZH9R0E/nEQEEul5AF9+bHRLnpZdeMgMHDjSnnnpq1xeMLSCAQGEEHnzwwaaCn75CJ510kusmr9aiJAQQ6HmBF154wX2/N1uSCy+80B3DuoBKyl+gNhKW/za6PUf/Q69Pnz5u26uttpoLgA4fPtz9EFQgxCcFPv/yl7/4l+a6665zf1tssYX54YcfXJcCzVQw0i+n7ky+i7OCi0cddVRN93m1NFWUX0HHcNpll13MxBNPbBTVP/DAAytBVb/Mdttt58YbVTApqWy6sZPqc+aZZ7oxI9TdMZw0Dszpp5/uArPh6Qq8Hn744S4oFZ6eplzh9aLPL7nkkoZmacsW3Ub4teqv4Hb0B8YyyyzjuoBGA8Nff/21Of/8810wXIFKnxTQ3nLLLZ29AmPRdMYZZ5jbbrutqrm6ltP7ZMCAAZUAoxw17p7eR+Ggn4IQ//jHP8zIkSOjWZuZZprJlXXxxRevmZdmggK6xx57bM17Ud289f6IvhfT7gfVbdJJJzVnnXWWG8tMQVyfFMQcOnSoq7Pe94888oif5QKN++yzj9HwAD6pmb/y0XRdPLjhhhv8LPeobjyqS3RfpHW85ZZb3PhqOta0Td8dWOMk6n1T7xjq6veVr7+6MylQLQtdEPFJgWuN7RjdZ34+j+UVePjhhxuOaR3V0WeXekIstthi0Vm8RgCBLhRQ19Q06eyzzzb/7//9v4YXZNPkybIIIFBsgeOPPz51BbSOzoFJCCDQ8wKKAYR/5zVTIh3DBECbkUq/TMcFQBV8GjFihJNYa6213OPCCy/sWsIp0HL33XdXvZkUyFQQ5r777jNqOarAiwalV9BIQU8NVq+AmQJkCjoq+aCMWmxpmsZtWHnlld2fWtqpK5MCKwoYKSik1nHhpBPi3Xff3R0IasmjYMzTTz/tBr697LLLTO/evc16663ngqz1yhbOL/pcLe/UVUJJ3SR1BVAHnW4EpauI2vbgwYPN0ksvXbVqs+WqWinyQq1tk8yyli2yGfdSd0gfNmyYCyBuvfXWLvimmxBp/yvQKIOLL764sqoMjjjiCGetloebbbaZe1+oJaPG4rjyyitdgEyB43CLSd2g4JprrnGDFasllYJTTzzxhNEdxLW/1FJvhx12qGwn+kRB1/79+xs9Ksip4KxanWqfK1CoFrMqlwJyajGZJelGWAqmqbud9oHGE9OxoPehgn6ap6tJqrdS1v2glorq5q8gvoL1CtTrBEvbVWBdLWL/85//OA+9r/WeU6vL0047zdVb7+1wkp9asm266aZGFyyUz6WXXuq6Aaqrz6GHHlpZvBVHvU8++OADNwSGLmzomPTHcWUDvz3prveVNqd9roso/fr1c++NTz/91OgCiz6rNI6T3nfhlrXhsur9rPdtvaTAar061luH6c0L6Gpu1hsO+EC8tqZWX/qOaTZdf/31zS5atZzGCl1nnXWqpnXHixVXXNG1lu+ObbENBOIEFPyPu/gYt2we03ShLmvSnZ312R89P8uaX5r1dBGY7vdpxFi20wT0myHaoCJax/B89RRK8/0dzauZ1/qNeeeddzazaNUyOv/XBZV2602k89Ltt9++qqy8QKA7BXRvl6SbhOq3rpKOvbyO7yzn7ooRaOxw3TCxO9OOO+5Y97dnd5ajS7dlf0R3VPr3v/8d2B9cgW2VV1UvG1Rx023AsWq6f2GDLW6+lgsn24XWTe/bt294cmBbDwY2wOnmXXTRRVXz9OKqq65y82zArGqeHePJTd9qq60CG3CsmmeDkm6e8g2nemWzgRq3/N///vfK4vagDWwwyU1XGaLJBsHcPHuiG9hAUGV2lnJVVo48qWeWtWyR7CsvtS+1r20gsTJNT2z36MC2+nXzbEC0Ms8Gi9w0e+e1wJ60VKbrif3BEti7Krr5eg/5ZIOpbtr666/v8vXT9WhPSNw8bct+kLpZa6yxhptmA5KVRf17wbYgDuyJU2W6ntiAX7DSSiu5de6///7KPL+fbFe4/9/eWYDdUVx9fELwBIIGK27BHcKHuzsULdAiwSFIgEJwKO7u7qVYgmsJFCkEC+4tUNwd9jv/+b6znbvv7t7V++7e/c/zvO9dmZ058xvZ3bNn5vjH4ja22mormwaucwPy23LLLVvOZa0HbSPieMsTpaWfjUzbtumjLuSjQwsneZnz5EHHnne5KhNcI0o+Py1sQD6xrLXXiKWkf06vScNR+30wH1EO2nTD+lAn2pWWBXLdeuutfhmxIZa1nrIWBVvLOXcHdSsfaiL/NtxwQy9qvHPT4XY2AjLFDCa7/GvDQD4CZgPcy1fJBzHbt4Jjdi+L5WcvM0/seOsf4EYkgWOPPZb9tE0/xVgmHy8jGXbbCTxv4f4pSxJVsmjy0u3NN998lZStm4USoxiOFQnGijzPPvKRpfQmJDPibP+WGTOl55UlA5mVY+XD+ypD5wnIMnns5zH9PKif6nwNxeeId3jcv6HXyRr+u5BlqWrWziUuShab2RprrNGSKaxBYdX3yiuv2LX2Wk5m2IEFHax4MMVap8a7yYjCzFpfYV1DWPgEA65xp+LjvE7Zz+MJFNansAbEVHdYOAYD8oUVHqzhMJUyGMqSC/nklS0oKyx0EbCmphtg5ShKaSOKJbseq56D10SE7bff3lpz6nH8wmoVXzwQYAGoQS28YGGq1pN6DksriNLUen13Pbnpef3FNGZMkx82bFiPLyqwmISFMgIsHLMErBsJK9ZJJ53UiLKzJQlYD+65557W8gvrjSLkrQe0EVh3ahg4cKBtU9iHqb7LCevNDho0yEZFuwwGTP/fYIMNWg7DKhvWpQhuG83DETLBylRDnKVtJ9qVyoHyB6c34JhOfc8zFmge/CUBEiABEiABEiABEiABEiABEiCBphPoqinwUIRB4Qhzfyin3AAFF6a2YxrUzTffnHtKHhROCFAmYup8WMA6oFC4Qq555pmnJQoUlMEARRKCWJwETyXeV7kwfSps6iwUUvB8DcVKUHGITMqSC2nnlQ1puAEKY6x7ien8WONu8ODB9g8KN0xTdwOYYloxAqaghwU9DuUwlGDgB6dHCGHrc0KhjrUl2wXUhTudDWmDPxxgQTmuTqNU8dYuveB5lXGuueYKnUKPdo8/DXnrAQq6YIByFWUKckc8dRSFqQTBAC5hTrnE8sFGxZIGGvJwhFzusgaaZthvJ9qV5hslF9aPxRRrTIeMCliWA1Mlo8IDDzwQdYrHCyAgswLMiSeemCkltGssrYGA5SqCHwHiEsVHPizZkjaIdbrBX6cDnTB0mjjzCxLAUkBZ+2owrST7cNInVqdJoobGwYdMPKd1OrgfLzudN/MjgSoQwJp7cc9dkBHP6vrsBYerWGKqzIBnZyyT5fotSJIfnhHhdbqKU+CTyM84JFAWASwJJbMNI5OHDwb4YYGxDPpQ3iBWirYPYwm2tAFrgnd6CnzVxoy0zJLE7yoFKJRgCLhJqAWZC0HXe7jvvvvs2p151jpSZRqUFFinMy64zmI0XtiDpjY4dJSsQZWawbUW3fRUgQVFXzCUJRfyyStbUFasq4k6xfqOWI8Vf1i/B9aJWJMV59UJEpSMeGjB2pUDBgwIJmX3oSSH0hPKUlhVQiGN9RkRVDltdzL8g/Uj1nPEephQfLpK7jBFdZosVAHqOl2Kuz5vPYS1LVUuhg3Sek5/Xdnw8BgWtCyoN9SxOh3LylHbfFhewWNltytXlrD+BnnClMJBOcFTrZaD57AP6+W0D8xh6fBYOIGgQj48VvhRrEWtClAoOpJ8SNGUFllkkUwKUDzEuR9iND3+kkC3Ewh+BCy7vPgwm1UBiucBrJkddW8oW3amTwJNJtDufQ5sdJ1ebOMdI839G9dkCfBtgOeGNEGWUmpZRz/NtYxLAt1MAP484gJ8UEABivVqi+rf8B0CPUCagGcXKGsZiifQNQpQKJSw4DMClCVh1nTQ5ONLGjTwiBs2RTwtYry8woInLsChUjDgy1wZQRUnroItmI9+gQhTvJUlF2TIK1uwHFAA7brrrkbW9DSynpO17oVjIVmD1Hp5h8MnLB48yyyz+HmjXUDBHKaMwzltN8pGFUh6PChDkn1YAe++++4GTqbAAA54YKU666yzmoUXXtjAw7w71TtJmm4clTGuzt34eeshzLFOEqV9kjgqJxz4ICAvna6eh2OYzJpX8LcT7UrzLLO/aR787S4CsDxdYokl7FIWSUsGCzgqP5PSYjwSKI4AljrS+1mSVLFED5WfSUgxDgk0hwCW0EqrAMU1DCRAAtUgAMfMaRWg7MPl1V3XKEBh7QRvfLDqxFqPak0ZRAet/t/+9jc7DT6PAlSn+kLZKg5bgtn02r6u8xi3dqCuxYg1IzsZypINlptY3xF/UHDjKwumu2EaGjyUYw1MWBRCqYnzaCdhLxiw+tQAK1IoCmGhCCtEeHVVa1KNg9/Ro0dbhevcc88daSUqTqqs8hPLMsCruSr0NB2tK1Vk6vGkv/AojxDleRYKb3iQRDwoXMuqh6TyuvFc5mHHZ599dn8ph7I5uvlju6x2FcyH+ySQloA4O7PLfcStPaxpYpw/77zzdJe/JEACHSSwwAIL2GeSJPd3rP2MKbgMJEACJOASgDWnOMj1Z46458K2d955Z4MPnwwkQALVIAAjBOgAks4OEWfVLb4rqlGK7pGiHDPEXuAzYsQIm+sKK6wQqfxEBHU4gmnIcGSkQS2xgg+pejxovYb1PRGeffZZqwDTdPQXX/xxsxoyZIiBVWKeoDIEZQtLE9aOCLAoVEtPNx5emNWxT9i6lm7crNsqb5BZkbJBcbbbbruZzTff3LhKAFj6wSIXxxEwFQ0Bys+ZZprJbmMJhLCgx921NPWaxx57LOwSc+6555rhw4f7+QQjwYRePKvaw+KRu4fyE1ahupxCVitTbYtY/zbMkRLa6PHHH2/OPvtsK0eR9RAsb9p9rMkbZrn64P+vcQhrWYROcEQ+nWpXyIuBBLISwJrSd911l1XSx6WBjx733HOP71QrLi7PkQAJFE8AH9Jg9YHld+IC1r1GX+30h+k4mXiOBEigOgTOPPNM61C1nUR47zz99NPbReN5EiCBDhPAUlRJ1gyGDgNL+jGUR6ArFKCw6FMF1WqrrRZLC9PR1cMyLEE1qFWeWkcGj0M59fHHH+thu0A9FIhQvp1wwgk9lI1QjGFNSqwhqUoc/+KUG1GyhSWz9NJLW8/nn376qTnrrLP8Kd2IC0UTbopQkkGxV9aUSJU3yKxI2bAmJ9ZWxTqmrtd2ZaJKXlg8atD1Eq+44ooeCsuXX37ZXHPNNTaq6y1c15K98cYb/fVANT2syQMnRhNPPHEkS7DQ6fRBRTgU1PgapAuuwzo1S0D7ggMnLOiMducqyqFgveCCC2yyK620kv0tsh6yyOteA+vXyy+/3D1kHYeBN5TZa665pj3XCY7IqFPtqqXA3CGBDATgXAj3GKxPFFxLF4rPAw880DoFxJqhDCRAAr1HYKONNrJ9Fc8gmF3iBsxywDMkPgbqB1f3PLdJgARIAAQwsxFrh2MJNyyFo8YmOIdtGADhwyjeA3SpK5xjIAESqAYB9FPc77FsH/RVbj/F8msw4IKj7quvvtpg+RyG8gh0xRR4DPhQtsG5yPzzz9+WFqxATz31VPPwww/b6dDwUq2OSWBJipdKKImwFhOUMJguDYUiHl4xlRrmy5gOvffee1srRKSzrTjcQcNFY4b15dtvv23XmYSCq1+/fm1liosQJVvYNehceCEeOnSoneoPBR3Wi4NSDErBN954w3p6xyL7bscLSyvrsThmRcmGgWKXXXYx8NR22WWXGXi8hkIASkW8SEA5irpaffXV/WLAuzceEBAXX0ihEMRSBnAKBOtPKIixALrrKXneeec16623nl1WYYcddjCYxg4lGeocLCEHLEBR5rAAxR2mocCyAwppTJlHG8W1mKqPaetQYGJ9S1fBHpZW3DGsMQoet956q/VcD4UolPmQE0pQ5KlLPlShjWhZwAdfueBMDB8UoBAFKyiDUbf68aBTHDvVrrT8/CWBPARwb8JyH3igwqwG3Kdwb8K4hrbMQAIkUA0CM844o8HSFViOAs8cmNWADxdhTgWrITGlIAESqCIBKE7wB2MWjCW4188wwwx2CbgqykuZSIAEWglAH4E/GC6hD0OHhT4c5aS59WruFUGgKxSgOv3dVVzFwUE8KKNgeYc1IrfZZhtrafbUU08ZOM6Bckq9TiOdgw8+2Bx11FH25RIOdqDcxEsmph7DmhDrikLpCW/kGvBVH1PgBw8erIcy/8IKLkq2sEQxPRJWdXgphtfxV1991UbDVCzcNOH9DErfMkMUsyJlw5o4CBdffLF9+YcCAAHKMiijoXwOWltAqYavK3gRueOOO2x8KIIx7X2ttdayf/ag8w/m6jiPr6ra1nB6JrGixfqi7SxpofTFl1vkB+Ue/mAVCsss1NHnn39unTmh7UGRmUVxAVlQ55jqDgUwlPgIyAcWrZh+7yq8i6wHm1HGf1AoQ1kDJTbaOMoO2aB0hrLaDZ3giPw61a7csnGbBPIQQL+BggV/DCRAAtUlgPswHCAykAAJkEAeAvB5ASMNBhIggXoSgIEcfIgwdJ5AH1mn0et8ttXNEUpRWNHAsiboSAnH8fAapqGH9SCmY2NKPL7ohznZyVvqONmi0oYlHb4uYP0pdX4TFbeM43HMipINTRgOj7B+Y//+/e1XFFg5tgt6DV5Gkpqa4xo4RUIdQ6GcJuBrLSxToZSEoiLKajRNmmFxwRVKejCAchEK4bhQVD3E5RE8h2UL8BEC1tj777+//fqFDw+wrg0qrYPXdopjJ9tVsIxF7OMDDCy/L7zwwiKSYxoFEoA3V1W0Yy3jM844o8DUmVQRBLAkymGHHWbGjBnjL2NSRLpFpYGPeVj6Rz/kFZUu08lPAGuP4yM4Au5x+NDOUC0CmB2DWT34IA3Lm6oF3LexZNVzzz1XNdEaLw/exfT5HQpIzGBiqBYBvE/AeAgzzDA7sGoB9+299trLPProo6XoC6pW3rrJg2Wk8K6PjwyYrcFQLQKY7YuZrVhT1V22MI2UXWEBmqbA7eJC6RlcT02viVNqQjEKK7wyQ5xsUfniJq0P4lFxyjwex6wo2WD9BGVkWoUkrHjxlyZkuUbTx0A6aNAg3S3tF1yx1m3SUFQ9JM0vLB6Uwkll7hTHTrarMCY8RgIkQAIkQAIkQAIkQAIkQAIkQAIkUAyB9mZyxeTDVEiABEiABEiABEiABEiABEiABEiABEiABEiABEig4wSoAO04cmZIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQKQJUgHaKNPMhARLwCWBtUjg56sSSAH6m3CABEiABEiABEiABEiABEiABEiABEmgkAa4B2shqZ6FJoHcJLLXUUgZ/DCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRQNgFagJZNmOmTAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAn0GgEqQHsNPTMmARIgARLobQKff/65eeihh8zIkSPNJ598kkucLGl988035p577jEPPPCA+e6773Llj4uPPPJIc91114Wm88ILL5hbbrnFjB492vz666+hcZIeTJvWv//977blhEz777+/ufPOO5OKwXgNIpClf0XhyZPWmDFjzNVXXx2VdKLjTz75pNlzzz3Nl19+2SN+HtmCiWVJi301SJH73UYg7f0rrvxp0vr222/NZ599Fvn3ww8/xGUVeq7KY4kr8P33328efPBB95Ddvu+++8x+++1nfvrppx7neIAEoghkubeVlVZU247KL3i8qn34xx9/NE8//bS5+eabzeuvvx4U29+v5bO7x0ACJEACJNB1BHbYYQdvu+2267pyFVmgo446yuvXr58nd3H/b/Dgwd4HH3yQOps0aYnC08/PzXvsscf21lhjDU8e7FLnjwsuvfRSr2/fvp68kLVcLwobD+Vy85pooom8M888syVekp20aX388cfeVltt5fXp08fPP66cBx10kDf55JN7H330URJxSosjCi5vjjnm8H755ZfS8siT8OGHH+6tvvrqeZKo1bVp+le7guVJ61//+pc39dRTe+OMM05kNq+99prf1tdee+0e8UTJ4cn6195mm23W41we2YKJpU2rrn01WO4k+/LRy/bvd955J0n0jse54IILvPnmm6/j+XZ7hmnvX2E8RFHn9+8JJpjA38b9td19dZVVVmmJ796TsY0+myZUdSwJluH666+35Z5tttmCpzyMOwMGDPCGDx/e41zWA6Kssf171KhRWZMo9Tr54G7lk4/upebTrYmnvbfFcQhLC/d37c9x1+JcXNtudy3OV7UP33DDDZ7462gZr6aaairvqquuCi1WJ5/dwQzP55AxazBZL+R1JEACJEAC1SVABWh83eChBw84UGYce+yx3iWXXOKts8469tiss86aSgmaNq077rjDf6jo37+/ffA/5ZRTvAUXXNAen3feeVMrAD/88ENv0kkn9XbccceWgkOZ+7vf/c6mu/HGG3uXXXaZB+XZFFNMYY8df/zxLfHjdtKmhRfFZZZZxuYzwwwzJCrn119/7U055ZTepptuGidK6eeoAC0dceIM0vavuITzpCXW2t6iiy5q23MeBeif//xnb9xxx/XefvvtFlHzyNaSkOykTavOfTVY9iT7VIAmodRdcdLev6JK7ypA8QyR5r6K+y4+BuIDSNjfueeeG5Vt6PEqjiVBQfHRCM8mYBWmAEV8PINhTH322WeDl2fapwI0E7ZaXJT23hZXqLi00F5hIBEXkrTtuOtxrop9eMSIEd5YY43lwVgBH3Evvvhib9ttt/XwvoLx66yzzupRrE4+u1MB2gM/D5AACZAACYAAFaDR7UCmeFoFBKw33njjjZaIUCDiweeAAw5oOR61kyWtffbZx+aBfHbeeeeWpJdcckl77tRTT2053m7nT3/6k31YCVo07bbbbja9oGL0pZde8iaeeGIPDGRKXrvk7fm0aV100UU2b3w1xgOLG+LKiZchsJHpcu4lHd2mArSjuCMzy9K/ohLLk9a9997rzTzzzLZdom1mVYC++eabtp8G+2Me2YLlzZJWnftqsPxJ9qkATUKpu+KkvX9Fld5VgEKx54a4+yqUJRg75pxzTveSzNtVHUvcAv3222/eSiut5I+bUQpQfFzCzI/ll1/evTzzNhWgmdFV+sIs97aoAsWlNeGEE9o2iw+VUSFp2466Hser2IdRLhgsYKyCYYYb7rrrLnscfVWmvbun7Hannt2pAO2BngdIgARIgARAgArQ6HZwxBFH2Jt42BRUKBDxhRNWiEGlXViKWdJadtllbf54wMBLmRswjR3HMRU+aXj//fetQne11VZruQTy6xQ9vJgFA5SmyOukk04KnuqxnyWtTTbZxKaPr+zBEFdOlAdfn9dcc83gZR3bpwK0Y6hjM8rSv6ISzJIWXgawlAj6Cf60z2RVgO6+++42nccee6xFzCyytSTg7GRJq8591Sl64k0qQBOj6oqIWe5fUQWHpZOOB7PPPnuPaDpGBO+rt99+u71uiy226HFNlgNVHUvcsoABWA0ZMsT+RilAcQ0+BiPuE0884SaRaZsK0EzYKn9RlntbVKHi0ho4cKBti3gXiHoPSNO2o2SoYh+GFTYsPyeZZBIPY50b8DykH4Iff/xx95Td7tSzO+ok7xR4OkGS0ZaBBEiABEigOQRkXShbWJlm3aPQ8uXTLL744kbWpTKPPPJIj/PBA1nSkrWugsn02J9sssl6HIs6cMYZZ1gHAqLEaInyzDPPmO+//94ssMACRqbbtZzDjsb/29/+1uNc8ECWtGRtJCNf2c3QoUODyfn7YeWcZpppzFJLLWVkqQADhzMMzSWQpX9F0cqSlqwBa8Q60sgyEubGG280MkU1Kvm2x+H8RKaSGVlXyyyxxBIt8bPI1pKAs5MlLfZVByA3u45AlvtXFAQ4EdQw3njj6ab/G3Vf1esWWWQRP27WjSqPJVqm5557zsj0XrPccsuZvffeWw9H/spSAvbciSeeGBmHJ5pNIMu9LYpYXFqiALSXiVYv9D0gbdsOk6GqfXj++ec3cM6KMsqU9xbRRSGMpTPtsbo/u1MB2lK13CEBEiABEuh2AvKF0xZxpplmCi2qHk+ifCsyLXH8Y2RNTivTBhtsECpb2MErrrjC4IFt/fXXbzldpGxZ05p22mmNTCdqkStJOfESiQctWXC95VruNItA1nYXRilLWmKJbM455xwjS2WYjTbaKCzZxMfwoQFeoPGijxcJN2SRzb3e3c6aFvuqS5Hb3UQga58IYwDFQFyIen6AEhZBrEbNcccdZ9Zbbz2z8sorW+XgU089FZdkj3NVH0vgPXrLLbc0UBDLuuMG42i7AEWpzLwxWrZ28Xm+eQSK7Mft0lK6wfeALG1b03J/tZ1X8XkA/RYfaoNB1v40b7/9thE/BUasuYOn7X5dnt3bj0ihxeNBEiABEiABEqgnAfGybgUXhwShBdAvm7ACbReKSAsWD7L2lZluuunMq6++asQ7e2Jli3icNrK2mBHHTUbW5WkRN6ls+BItU1targ3uFJFWmnKqhdx9990XFIX7DSKQtN2V1Vf79u1rdtppJyNrgeWmfv/999s0YGEeDL1dzqA87KtBItyvM4Gk/SvNvTCKhz4/BNNSC1BZesfIGuPmtttuM7i/yTp7ZvDgwUam5EYl2eN41ccSlO+FF14wmJ0y44wz9pA/7ADGWnEyZ37++Wfz97//PSwKjzWcQNJ+XMTzgKIOppWlbWta7m/V+7DKCkWxLKlmZ8HIkl22j9555516usdvXZ7dqQDtUXU8QAIkQAIk0K0E8PUWfwhBhaGWWV9gvvvuOz0U+ltEWlA8HnjggUbWpDOYbisOg8xcc80Vml/YQX1RCPta++WXX9pLosopDhz8JNuVNW9asmB6qnJqeWAZI+v9+HJyozkEiuhfSqvItDTNtL9RfbVI2YpIi301bc0yftUJ5L1/ueXTtNxj7nbYffWrr74y4vDERsMHkAceeMDgnvvuu+8aLIkDi/BDDz3UWj+6aUVtV3ksueeee8xpp51mP+JuvfXWUUUIPa73fS1faCQebCSBIu5tCi5JWhrXfTbO07Y1Pf3VNq5tXo8nka2T7yg333yzufDCC+1yVpARS3iIA1UVt8evlqfqz+5UgPaoOh4gARIgARLoVgKYKg5Lg7ig1pDtpm0VkRamecui//ZFCFNixGmREa+p5o9//GOciP45rLGJoA8d/gnZCFufzD2va/ngWLuy5k0LTNOUc+qppzbiaMZAGfPhhx+6YnO7IQSK6F+Kqsi0NM00v+hrH3zwgb0k2FeLlK2ItNhX09Qs49aBQN77l1vGLGlBwXnBBRfYqe9Y2xozPsYff3x734bl58EHH2yzSLJWZpXHEli9brvttvZDbpb1krEGO4I+19gd/iMBIVDEvU1BJklL4+qzcd62renht8p92JUT21tttZUR57AGFux77rmnHcfgU0AcOQaj2v26PLtTARpafTxIAiRAAiTQjQSg/BQPj7ZoeKAJC3p8wIABYaf9Y0WkhTQWWmgh+yKENTxhCSreF414STcjR47084ra0Ok5QaUK4mNNPwQtj91x/ulxPAwG1+l0otnNvGlBmZmmnHhhhOMZBC2j3eG/xhAoon8prCLT0jTT/GLqHiy8IYf2Jb2+SNmKSIt9VWuGv91CQPuc3vOC5dLjae6FwTR0PyytiSaayGy33XZm2LBhVvGpcfV3r732sptYX++TTz7Rw6G/VR5LdtxxRyOeoK3juKglhkIL9f8H9TmG9/w4Ss08V8S9TcklSUvj6ntA3rat6eG3yn3YlRPbWF4LHybgTPXUU081++67r+3jUIaGhbo8u1MBGlZ7PEYCJEACJNC1BJK+DOk0kzgQRaaFfJAenCMg6BQZuxPxT61VwxSYSWWLmiLvZllkWkg3STm1TFpGVx5uN4NA0nbXG301TQ1oG4ZyEUqWYKhyOdlXg7XF/boRSNq/ktwLp5lmmtjiqwI0SVqaEJQscACEACVoXKjqWIK1Av/617/aj6knn3yydfAEJ0/422abbWyRYNmpx+AQLhh4zw8S4b5LIGk/LuJ5QPNFWkW0bU0Pv1Xtw66MUds777yzPYUp7t9//31otDr0YypAQ6uOB0mABEiABLqVAJwNIbz++uuhRYTHZ4SFF1449Lx7MEtad999t5tEj219eMNaQO0CppsgfPrppz2iJpUNlpntQpa04P0V65pFlaNdOdUSpt0LZzvZeb6+BJK2u7L6alHkoAyB8hPr2bprimn6vV1O9lWtCf52I4Gk/SvJvVCVMFGc9PnBTQvODa+66ioTde+H4x918KLTwKPSr+pY8tNPP1mRMb7BuZP79+ijj9pzUJjocVjEBwPv+UEi3HcJJO3HRTwPaL5Iq4i2renht6p9GLK9+OKL1tJzxIgR2O0R9Lkd0/iVSzBSHfoxFaDBWuM+CZAACZBAVxNYd911bfmuu+66HuWEV/Wnn37a9O/f3yy44II9zgcPZEnrhhtuCCbTsv+Pf/zD7rsvUC0RnB1VDoZNGZt//vnNTDPNZJ577jnz8ssvO1f936aWf5lllulxLnggS1rwJI31zbBwfFiIKycerlSpq0resDR4rLsJZOlfUUSKTCsqj6jjmBYGB2cIYX21SNmypMW+GlVzPN4NBLLcv6LKjbQ0hH3cC7uv4pkCa+ltuumm5uuvv9bL/V84RYJCEMu+6BI9/snARlXHEjwvYfp72N+oUaNsKfA8oufDHKmo4oT3/EClc9cSyHJvi0IXl5arnEe7LqJtu3JUtQ9DRrwrDB061BovuDLrtj63zzLLLEaXB9Bz+K3Ns7sIykACJEACJNBlBHbYYQdP1pzqslIVUxyxwvJEGeGJwyHv8ccf9xOVhx5vs80283APF2cE/nHdEMsF78477/TEmYke8rKk9Yc//MHmgXyGDBnip4WNs846y56DfKIoaTkXtiPTUGx8eUALO+3Jmj32/O9//3sP5dMgDok8mabiiSMG7z//+Y8etr9h5cSJtGmJ9afNe7755vO++eabljzalfP555+3184999wt13Vq5+qrr/bmmGOOFmadyjtJPocffri3+uqrJ4la6zhZ+pcs2G/7qSwh0VL2LGm1JCA7YvFg26VYcwZP+fvyEcXGQf9ee+21/ePYxjHxquof042ssoX11Sxp1bmvKsM0v7LWsu3faCtVDOIwx8O4yVAcgbT3L+QcNpboGIC+LEq8lntE1H0V9/J+/frZ/n/00Ue3FEqc/HlzzTWXPXf++ee3nIvaKXosCSsn8s4yloTJrGPibLPNFnbaP7bRRhtZDtdff71/LMuGzO6x/VsUr1kuL/0aWd/dyicK39Lz6qYMsrTHLG0bz8Xo33H3eeWatG1rfP2tah8WS3RPFJu2/DIzRMW1v2ivOlYdeeSRLed0pxPP7mgHeD4XYxLNNvUvNLUMJEACJEACXUaACtD4ClUFnDgn8GQxb++kk07yxBLS3vTxkB6mfJx00knt+WuuuaYl8bRp4eEXD1f6gLX99tt7p5xyirfOOuvYY7JGoIc4SYKsJeTJlDxPFnX3vvrqqx6XiLWJJ19qbbpLL720J5ZenjhcsC9uyB8vhcEQVc60aYl1jLfYYovZvPGimKac55xzjr3ugAMOCIrXkX0qQDuCOVEmafvXaaedZtvOnHPO2SP9tGkFE1DlR9yLkb4QoX+5CtDzzjvPyrXffvsFk7X7WWSL6qtp06pzXw2F2eYgFaBtAHXh6bT3LyAIG0t0DNB7eNL76pVXXmn7P67DB8vjjjvO23///e3HWBwLfqSMq4Kix5Kwcmr+accSvc791TGxnQJULD+9cccd1/vyyy/dy1NvUwGaGlltLkjbHrO2bfRJfLRoF5K27WA6Ve7DN910kz9WLbroot4JJ5zg4Vkchhngsuyyy7Z8+HHL1olndypAXeLcJgESIAES8AlQAeqjiNyQqWqeOB7wb/S4sa+55preW2+9FXpNlLIBkdOkJVPC/TxlKoy/jfyXXHJJTxZcD80/6iCsSHHtbbfdFhpFppJb5SqUpIiHP/HQ6p199tmh8ePKmTatL774wiqYodTVvPHbrpx4GUS83rLgoAI0tGn02sE0/SvuhQcFSJNWsMCq/MiiABUHIB76+yKLLBJM1t9PK1tcX02bVl37qg8vxQYVoClgdVHUtPevsLFExwDcn/ABNel9FRhlXT0PH2bceyGUClCGpglFjyVh5XTlSTuWuNdiO4mSaMyYMZbLKqusErw89T4VoKmR1eqCNO0xS9seb7zxbFtE/24XkrTtsDSq3ofxnjJo0KCWsUqWBvOOOuooOxMmrEw41olndypAo+jzOAmQAAk0nAAVoMkbABSejzzyiIepaHlDkrRcBehOO+3kjR492hMnAR4UEFmCrNljp+pg+lhcEK+rnqzf473wwgt2altc3Hbn0qYlzg8Sl1O86Nqp+bDI7a1ABWhvkY/PN0n/ik/hv2eLTOu/qf73ZR9KDtcCFHF0+QtME4sLRcqWNq269dU4jlHnqACNItOM42nvXy4VVwE677zzelnSwjI6eOZ477333KRTbddhLElToGHDhllly7333pvmstC4VICGYum6g2nvbXEA3LQwq0o/cMRdk/dcHfowFLW4X0LR++uvv8YWuVPP7kUoQMeWCmYgARIgARIggcYSwML8+CsipE1LLCPNAgsskCtrsSgxu+66q5GpQdbBili1hqYna36aJZZYIvRc2oNp05I1lRKXU6YKWs/xsixAWrEYv8sJpO1fcTiKTCsuH/fcsccea2R6mbnoootMXPsuUra0abGvujXG7W4kkPb+FccgS1pw8pPX0U8dxpI4bu45OJ2R9QYNHNOstNJK7iluk0AkgbT3tsiE5ESRacXl456rQx8WZbDBX5JQp2d3eoFPUqOMQwIkQAIkQAIVJiBOTAy8qp5xxhkVlrK9aD///LM5/fTTzbbbbmtkqnD7CxiDBGpEAC8SspaWueSSS4xYS9RI8p6isq/2ZMIjJNApAt00lkBxIs5XjKxR3il8zIcEep1AN/Xhuj0PUAHa682fApAACZAACZBAPgKTTDKJOeKII8zJJ59sZHpdvsR68WrxgmtkKQIjnnJ7UQpmTQLlEdhnn32MeFmtfRtnXy2vjTBlEkhCoBvGEpnOag455BCz++67m9lnnz1JsRmHBLqGQDf0YVRG3Z4HqADtmi7EgpAACZAACTSZgDhDMiuuuKK58cYba4lB1hcyd955p/nLX/5ipplmmlqWgUKTQDsCE0wwgTn11FPNE088YcTbcbvolTzPvlrJaqFQDSPQDWPJyJEj7fTj4cOHN6z2WFwSMKYb+nAdnwe4Bih7HwmQAAmQAAl0AQHxRmtuvfXW2pYE8osn+9rKT8FJICmBDTbYwOCvroF9ta41R7m7jUDdx5INN9zQ4I+BBJpKoO59uI7PA7QAbWpvY7lJgARIgARIgARIgARIgARIgARIgARIgARIoAEEqABtQCWziCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQVAJUgDa15lluEiABEiABEiABEiABEiABEiABEiABEiABEmgAASpAG1DJLCIJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNJUAFaBNrXmWmwRIgARIgARIgARIgARIgARIgARIgARIgAQaQIAK0AZUMotIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAk0lQAVoU2ue5SYBEiABEiABEiABEiABEiABEiABEiABEiCBBhCgArQBlcwikgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBTCVAB2tSaZ7lJgARIgARIgARIgARIgARIgARIgARIgARIoAEEqABtQCWziCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQVAJUgDa15lluEiABEiABEiABEiABEiABEiABEiABEiABEmgAASpAG1DJLCIJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNJUAFaBNrXmWmwRIgARIgARIgARIgARIgARIgARIgARIgAQaQIAK0AZUMotIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAk0lQAVoU2ue5SYBEiABEiABEiABEiABEiABEiABEiABEiCBBhCgArQBlcwikgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBTCVAB2tSaZ7lJgARIgARIgARIgARIgARIgARIgARIgARIoAEEqABtQCWziCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQVAJUgDa15lluEiABEiABEiABEiABEiABEiABEiABEiABEmgAASpAG1DJLCIJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNJUAFaBNrXmWmwRIgARIgARIgARIgARIgARIgARIgARIgAQaQIAK0AZUMotIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAk0lQAVoU2ue5SYBEiABEiABEiABEiABEiABEiABEiABEiCBBhCgArQBlcwikgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBTCVAB2tSaZ7lJgARIgARIgARIgARIgARIgARIgARIgARIoAEEqABtQCWziCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQVAJUgDa15lluEiABEiABEiABEiABEiABEiABEiABEiABEmgAASpAG1DJLCIJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNJUAFaBNrXmWmwRIgARIgARIgARIgARIgARIgARIgARIgAQaQIAK0AZUMotIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAk0lQAVoU2ue5SYBEiABEiABEiABEiABEiABEiABEiABEiCBBhCgArQBlcwikgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBTCVAB2tSaZ7lJgARIgARIgARIgARIgARIgARIgARIgARIoAEEqABtQCWziCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQVAJUgDa15lluEiABEiABEiABEiABEiABEiABEiABEiABEmgAASpAG1DJLCIJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNJUAFaBNrXmWmwRIgARIgARIgARIgARIgARIgARIgARIgAQaQIAK0AZUMotIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAk0lMHZTC85ykwAJkEC3E/jggw/M9ddf3+3FrF35xowZYwYMGGDl/te//sU6qmAN/vOf/6ygVK0iffXVV2w7rUgqsffRRx/5/fuLL75gHVWiVlqFePXVV1sPVHDv119/ZdupaL3o/Zt1VMEKEpEwBtch3HLLLaZ///51ELVRMo499tj2Hj7eeONxDK5gzf/000+5paICNDdCJkACJEAC1STw+uuvm+HDh1dTuIZLNdVUU1kCUIayjhreGDIW/5NPPmHbyciu7Mu0f+NFnP27bNrdmf4vv/zCtlPRqtX+DQUo+3dFK6kGYh133HE1kLJ5Io4//vgGfwjs391Z/308Cd1ZNJaKBEiABJpLAA/mv/32W2UBbLLJJua1116z8j355JNmnHHGqaysRQv2+OOPmyFDhthkN998c7P//vsXnUWl09ttt93MI488YmUcMWKEmW666Sorb1XbJfo2+nhVw1577WUefPBBK96tt95qZphhhqqKWrhc7777rll33XVtusstt5w57bTTCs+jygkeffTR5oYbbrAiXnjhhWbRRRetrLjs39mqBoqba665xl587rnnmsGDB2dLqIZXQTGtbXq22WYzN954Yw1LkV3kSy65xB/TjjjiCH+sy55ieVfCkq9Pnz7lZZAxZahe0I6qGq644gpz0kknWfEOOeQQs+GGG1ZV1FLkWnXVVa0Vcb9+/cyoUaNKyaOqid59991m2LBhVryddtrJ4K+qIU//pgVoVWuVcpEACZBADgJ9+/Y1+KtqgPJGHwBxE6vqi2gZ/MYaayy/7FBkNans4OnWPdpo08pfRJtCG8JfVUOT6xjjmY5t4NC09u2+3KONNq38RfTJqvfvptdxk/s32reWH8pF9u/0Pb4O3Jpcxyi7/jWxfWvdo2V3a/mr+/ScfjzhFSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQQoAK0BYc3CEBEiABEiABEiABEiABEiABEiABEiABEiABEugmAlSAdlNtsiwkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAItBKgAbcHBHRIgARIgARIgARIgARIgARIgARIgARIgARIggW4iQAVoN9Umy0ICJEACJEACJEACJEACJEACJEACJEACJEACJNBCoI948vNajnCHBEiABEiABEomMGrUKPP111/bXFZbbTUDr5hNCZ9++ql58sknbXFnnHFGM9dcczWl6LacTz31lPnkk0/s9nLLLWcmmGCCRpW/CYV9+umnzUcffWSLuswyy5h+/fo1odi2jN999515+OGH7fbAgQPNwgsv3Jiyo6Bjxowx7777ri3z4osvbiabbLJGlb8JhX3ppZfMO++8Y4u62GKLmcknn7wJxbZlxGvzXXfdZbcnmmgis9RSSzWm7Cjom2++aV599VVb5vnmm89MN910jSp/Ewr79ttvm5dfftkWdZ555jHTTz99E4rtl/HBBx80P/zwgxl77LHNyiuv7B9vwsaHH35oRo8ebYs622yzGfx1Y6ACtBtrlWUiARIgARIgARIgARIgARIgARIgARIgARIgARKwBDgFng2BBEiABEiABEiABEiABEiABEiABEiABEiABEigawlQAdq1VcuCkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJUAHKNkACJEACJEACJEACJEACJEACJEACJEACJEACJNC1BKgA7dqqZcFIgARIgARIgARIgARIgARIgARIgARIgARIgATGJgISIAESIAESKJrAjz/+aG688UYDj9+ff/65mX322c2CCy5oVl99ddO3b99c2Y0YMcJcfvnl5rDDDquMB3V4zLzhhhusZ1x4vIZ31BVXXNHMMsssqctaJrvUwiS4oEx5q1jXCZB0fZSm1XmR/RuNo+j0ym5wZcn73XffmX333ddMPfXU5pBDDim7GEw/IYEy+3cV67zo8pbVXxJWX+poZclbxbpODadLL2hSnbN/F/d+4naHOvdveoF3a5LbJEACJEACuQl88cUXZpdddjHvvfeeTWuyySYzn332md1edtllzaGHHmrGHXfcTPk8//zzZo899jC//PKLOeOMM6xSNVNCBV4ERe9pp51mU+zfv7/56aef7N8EE0xgjj32WLPwwgsnzq1MdomFSBGxTHmrWNcp0HRt1KbVeZH9G42i6PTKbmhlyet5njnwwAPNqFGjzEILLWROP/30sovC9BMQKLN/V7HOiy5vWf0lQdVlilKWvFWs60yAuvCiJtU5+3dx7yduV6h7/+YUeLc2uU0CJEACJJCbwJFHHmmVn0sssYS5/fbbzS233CNtqqsAADGySURBVGKuvfZaM+uss5qHH34484vuM888Yw466CCr/MwtZEEJQEmHF3codI8++mgzcuRIc+edd1ol7ffff2+tmz788MPEuZXFLrEAKSOWJW8V6zolmq6N3qQ6L7p/F51e2Y2sLHkxNh533HFW+Vl2GZh+OgJl9e+q1nmR5S2rv6SrweSxy5K3qnWdnEz3xmxanbN/F/d+or2iG/o3FaBam/wlARIgARLITWDMmDHmiSeeMLB+POqoo8yAAQNsmtNNN505+eST7fT3O+64w3z99deJ88I0ixNPPNEqFTGdfqyxqnPruuyyywy+hG611VYG1q19+vQx44wzjtlkk03MxhtvbH7++Wdz8803JyprGewSZZwxUhnyVrmuM2LqqsuaVudF9m80hKLTK7txlSEvlkXZeuutDZa3qNJYXjbLOqRfRv9Guata50WXt4z+Uma7KUPeqtZ1mRzrlHaT6pz9u7j3E23j3dK/q/MWqWT5SwIkQAIkUFsCDz74oJV9ueWWM+OPP35LOTAVfvHFF7fTw6EETRq23357a0U64YQT2nXiZp555qSXlhoPyjooexFWW221HnnpMVjBYsp+u1AGu3Z55jlfhrxVres8nLrp2ibVedH9u+j0ym5XZch7zz33mKFDhxpYxWOGwN577112MZh+CgJl9O8q13mR5S2jv6SoutRRy5C3ynWdGlAXXtC0Omf/Lu79BN2hm/o3FaBdOMCxSCRAAiTQWwRefPFFmzVebsMCFKAIzz33XNjp0GNYwwfKxEsvvdSsssoqoXF64+BLL71krT+nn356M+200/YQYdCgQWaiiSYyX375pXn33Xd7nA8eKINdMI8i98uQt6p1XSS3OqfVpDovun8XnV7Z7agMebEWNMbKAw44wJxwwglm0kknLbsYTD8FgTL6d5XrvMjyltFfUlRd6qhlyFvluk4NqAsvaFqds397pqj3E3SHburf9ALfhQMci0QCJEACvUXg3//+t816kkkmCRVBj6uDpNBIgYOXXHKJmWqqqQJHe3+3XVkhIcqL6f4obzuP8O3Sy8KuTEplyFvVui6TY53SblKdtysr6q3I/p02vbLbTdHlh7wrrbSS2WijjczYY/P1o+z6y5J+uzrPcg+qcp0XWd52aaE+0owXWeovzTVlyFvluk7DplvjNq3O25U3zXjWLi20Gfbv+vQcPoHUp64oKQmQAAlUnsC3335rZdQHi6DAE088sT2k8YLnw/arqPyEnFqGqLIiTprytksvTVrIu+xQhrxVreuyWdYl/SbVebuyos7S9Mmi0yu7zZQh7xRTTFG22Ew/B4F2dZ6mvasYVa7zIsvbLi3wyMJPORb9W4a8Va7rovnVMb2m1Xm78qbpj+3SQntIk17Z7acMebupf3MKfNktkOmTAAmQQEMI/Pbbb+aHH36wpcXU77DQv39/e/jHH38MO12rY1hPCSGqrDin5VUuOBYW6saubvKGMeexdASaVudF9m+QLjq9dLWXPnbd5E1fQl7hEmha/y66vHXrL3WT122r3M5GoEl1zv5d3PtJttZW7atoAVrt+qF0JEACJFAZAj/99JOBF/awMOWUU1qPvvD+/v3335soBaceH3fcccOSqdWxfv36WXnBJSpoeccbb7yoKPY4vCHXiV3d5I2Fz5M+AfTvsPYMB2RQ9NepjfqFyrhRZP+GCEWnl7FYiS+rm7yJC9bgiOzf/638ou9hdesvdZP3vzXHrSgC7fp3k+qc/bu495Oo9lbn41SA1rn2KDsJkAAJdJDACy+8YPbcc8/QHG+77Ta7/g2mSGC9S6x7GRb0uD6IhcWpyzGdDvLVV19FipymvHVjVzd5IyuJJ3wCw4cPN88++6y/rxsbbLCB9djdpDovo3+DZ1HjhdZNWb9Fl78sOZlucgLs362sihzP6tZf6iZva81xL4xAkv6N6+pyDworY5pj7N/Nqes07QJxOQU+LTHGJwESIIGGEsAXVVgyhv316dPHUtGHalX8BVHpg1c3eP9tV1aUPU1526WXJq0g9zL26yZvGQy6LU1YZof173HGGccWtUl13q6sAJKmTxadXtltr27yls2jG9Jn/26txXZtnP37/z7udsPzWmvNd+de3v4NKmnafNUpsn+bSGOUbqvrtG2RFqBpiTE+CZAACTSUwIILLmjuvffe2NIPHDjQnn/zzTfN4MGDe8TFcYS55pqrx7m6HdCywuL1559/Nqok0nJ8+eWX5rPPPrNLA8w+++x6OPJX06sLu7rJGwmeJ3wCJ598sr8dttGkOteyFt2/i0ovrH6KPFZ0+YuUjWllI8D+3cpN23gR91xNi/27lTH3Okcgaf+uSxvNS077JPt3/veTvHVRtetpAVq1GqE8JEACJFBjAiuttJKVPkxRikXJ77//fnseytS6h2mnndYMGjTIfPPNN+bxxx/vUZwHHnjA/PrrrzYO1lBsF+rGrm7ytuPP8+0JNKnOi+7fRafXvrbyxaibvPlKy6tBoEn9u+jy1q2/1E1e9tD8BJpW50WOZ3VjVzd587fudClQAZqOF2OTAAmQAAnEEIDV50wzzWRee+01c8cdd7TEvOqqq8ynn35qZpxxRrPEEku0nBs1apS55557zFtvvdVyvOo7m2++uRXxkksuaZlq8tFHH5lrrrnGnttkk01aivHBBx/Yst53330tx7Oya0mkgztZ5a1rXXcQbWWzalqdZ+nfqLyoNp41vd5qEFnkjRrfeqsMzDc5gab176LLm6W/JK+d4mNmkZf9u/h66GSKTapz9u/i3k862UY7kRenwHeCMvMgARIggYYQwFqgO+ywgznkkEPMMcccYx577DGD6d/PP/+83cY08WHDhhldM1SxnHbaaQYP1rh25pln1sOV/11uueXsdP6XXnrJbL/99maFFVYwv/zyi10qAMrepZZayqy44oot5YCTmaOPPtr07dvXt7hBhKzsWhLv4E5Weeta1x1EW9msmlbnWfo3Ki+qjWdNr7caRBZ5o8a33ioD801OoGn9u+jyZukvyWun+JhZ5GX/Lr4eOplik+qc/bu495NOttFO5EUFaCcoMw8SIAESaBCBZZdd1pxyyilWAYpp4PhDgGXo0KFDzfzzz981NKDEPOOMM2x57777bgMrVwQc33jjjc2QIUPsGqBJC1w3dnWTN2k9MF40gSbVedH9u+j0omupmDN1k7eYUjc7lSb1b9R0keWtW3+pm7zN7pnFlL5pdc7+Xdz7STEtsBqp9PEkVEMUSkECJEACJNBtBGAFiQXXsRj51FNPnUoZWDcWsPx84403DG6r008/venXr1+uItSNXd3kzVU5vNgSaFKdF92/i06v7CZZN3nL5tGE9JvUv1GfRZa3bv2lbvI2of+VXcam1Tn7d3HvJ2W3zbLTpwK0bMJMnwRIgARIgARIgARIgARIgARIgARIgARIgARIoNcI0AlSr6FnxiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAmUToAK0bMJMnwRIgARIgARIgARIgARIgARIgARIgARIgARIoNcIUAHaa+iZMQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQNkEqAAtmzDTJwESIAESIAESIAESIAESIAESIAESIAESIAES6DUCVID2GnpmTAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkUDYBKkDLJsz0SYAESIAESIAESIAESIAESIAESIAESIAESIAEeo0AFaC9hp4ZkwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJlE2ACtCyCTN9EiABEiABEiABEiABEiABEiABEiABEiABEiCBXiNABWivoWfGJEACJEACJEACJEACJEACJEACJEACJEACJEACZROgArRswkyfBEiABEiABEiABEiABEiABEiABEiABEiABEig1wiM3Ws5M2MSIAESIAESIIFUBH799VfzyiuvmNdee83MOuusZs455zTjjDNOqjQYmQRIoHcJ/Oc//zH33nuvmW222cwSSyzRu8IwdxIggUYT8DzPvPjii/a5Yuqpp7bPFgMHDmw0ExaeBEigewnQArR765YlIwESIAES6AICX331lfnzn/9sFltsMdO/f38zzzzzmPXXX9/MN998dn+hhRYyQ4YMMW+//XZkaffaay/Tp08f+/fbb79FxuvtE19//bUvJ8pct7Dvvvv68v/000+liP/oo4+Wkm6RiYbJWPe6LZLPDjvsYLbaaiuDDxp1DLPMMott5+utt14p4l9++eV+P3rmmWf8PNiGfBTciCHwzTffmOeeey4mRr1PvfPOO37/OPHEE3MV5rDDDjOTTz65fZ7YcMMNzf/8z/+YY445JleauLhIGXMLkyKBujwrpShSZNSocTyu7jrxjBMpME+QQEEEqAAtCCSTIQESIAESIIGiCcAqY4455jB/+ctfzFNPPWV++OGHliygZBs9erQ5//zzzdxzz22uuuqqlvPc6SwBWNKUFWA1+Ic//MGstNJKZWWRO906yJi7kDkTuPbaa81tt91mfv/731tlQ87keDkJkIBD4PrrrzeDBg0yI0eOdI5yM4wAnhcOP/xw8/nnn7ecnnfeeVv2uUMCSqDMZxzNg78kUDYBToEvmzDTJwESIAESIIEMBGD5udpqqxkolRCWXnpps/POO9tps1NNNZX59NNPzZtvvmkuvPBCc9ddd5nvv//ebLvttmbaaac1K6ywQoYce/8SWKmOP/74VpCxx67fIwqWI1D5i6YJS50rr7zSjDfeeEUnXVh6cTLWvW6LgPTJJ5+YPfbYw6Bt46MGQzoCbEPpeDUtNu6Vm266adOKnbm8F1xwgb0W962zzjrLrL322mbcccc1E0wwQeY0eWF3EyjzGae7ybF0VSJQv7eLKtGjLCRAAiRAAiRQEoFzzjnH/Pvf/7ap77fffub4449vyWnGGWc0Cy+8sNl4443ty8tuu+1mfvnlF7P//vubJ554oiVuXXYwxR+K3LqGY4891uCPoSeButdtzxKlPzJ8+HDz8ccfmz/96U8G0w8Z0hFgG0rHi7FJII7Au+++a09jVgGW5WAggXYE+IzTjhDP14EAp8DXoZYoIwmQAAmQQOMIwKoToV+/fuboo4+OLf+uu+5qVl55ZRvnySefNC+//HJsfJ4kARLoLAEoPi+99FKb6Y477tjZzJkbCZAACQQIwCIdYZpppgmc4S4JkAAJdC8BWoB2b92yZCRAAiRAAjUmoC8n8MqaxNP7uuuuaz1LY3rtq6++atdBiys+FrqHpeiYMWNsXDg/mH766eMu8c/BMhVKVvx9+OGHZqaZZjKzzz67XYd0iimm8OPpxs8//2zUmQnWKp1wwgkNHOXcf//99uULzhfgiAEOmrDWKQKm8v/ud7/TJAysVZDXxBNP7Jfto48+Mo899phdB1UtYrF+2Vhjtf+++/jjj5t//vOfNk04llpyySXNDDPMYLDGFZTICPDSPdlkk/kytNt47733zAcffGCjwWkVpuwiwNkN8kKYa665zEQTTWStdeGoA/JjuQNY8y6yyCImyO/99983//rXvwzKigD51MIXbQMyBwPivPbaa+bZZ5+13n3BcsEFF7SOLqKmN+bhm0TGuLp15VdWaJdY4gHlm3/++WNl12uQTlq+bt7YBjfwfeONN+xyBmiv+Jt55pn9+gxek2QfU0yxhi/aaRLP72n7WJEMUJ4vv/zSjBgxwrz++uu2b2IJDjheS9K3kvBAnH/84x+2v2OsQ9tfaqmlYvtbkjaEdZEfeOABW4+YEg1LW61D9Lsk4ZFHHrFjCvoy+hjGNljJtRuHwQx9Dn/YRrtFvwvroyoHnNehbw8YMMDMOeecdvvWW2+1vxiTl19++Vzjh+aj/VvzwXHwefDBBy0rjH/ILzg+QDbEwXrUYIl2MOuss2qykb9pWeRtvxizsSyMBoyZOk6ibfXt21dPRf4mvU+5CWQZa93rsZ22rwevT7MPB1EYWxHAHAHclBWW18EY5QbMysAzBe73r7zyih0X0Sf0np91TMjbV9O2MbdMabbzPCvllTFv20D+RY7jZTzjhNVFHm5521WYPDzWZQRk4GYgARIgARIgARKoGAGx6oRHHU+UaN7TTz/dVjpRrnhffPFFaLw999zTpoX05AXI23777f19HNM/Udp5n332WWgaOCgvAp4oAvz4ep3+yvqXnqxt6MmLZEsaokjwrxk1apS32Wab+fu4VpSaVi5RBPrHDzzwwJY0tAzLLbecJw+4nnjR9uNq/viVF3RPXn5brnV3XnrpJU9e9kOv3Wmnnawcmt7VV1/tXtp2e++99/bT/fHHH/344mTCPy7KGU8ULJ4ofP1jmh/4nXfeef512DjqqKN6xNP44rG2JS52RIHniYIt9JqBAwd64oCnxzU4kIdvEhnj6lYFuu+++zxRYIfKLophTxycaNSW3zx8NSFRwnnyEcH2N+Xr/qLdy8ufRk/1KwoED/IjvX322Sf22qx9rAgGKhjqU5SFPepBFHqWgSiD7TnwyhJEkeINHjy4R/qiSPFOOeUU77LLLvPPuWNfuzYk3uM9Ufb717r1J9PnPVnzMFbcO+64wxOnc6HXo8xR7U8Us5544/Zkfd7Qa7fYYgsP9RMWhgwZYq9ZddVVPfko04P7EUccYa/VsqQdPzRP7d8rrrii991339m2rmnqr6z/6Mma0vYSjOGQW8/pL+KI4xxNtsdvVhZ52698+Oshq8ocdV8MCp/0PqXXZR1r9fqsfV2U5n5ZTzjhBE0u0S/uv8ol7FeW0mlJ59xzz/XQd8Li4hjuNc8//3zLNdhpJ2Oevpq1jfUQMuSA9hOULc+zUl4Zs7YNt0hZx/G4uivjGceVOS+3PO3KlYPb3U0AlgQMJEACJEACJEACFSNw++23+y8dU045pVUMQAGQJbgP9QsssIBNF4pVbOOFeNJJJ/XzghJUvr73yObuu+/2X86hqFhmmWW8rbfe2ttyyy09XOO+IP35z39uud59sRRHTS1xcd0aa6xh48cpOLQMiy66qI2P66CkgTITxyCTyiBT+jwonYJBLC59RRTiQtmBl3yxsvLE8sleDwWqplOGAnTffff18xILU0+WLmiRCXmfeuqpvugXXXSRLR/aAM6h3lBe/J100kl+PGz89a9/9WTJBD/e4osv7v3xj3+0eUDJrOUaNmxYy3XYycM3iYxxdYv8xULSl0+stbyFFlrIE6/3VqGtdQP50X6CwVWepOWLtNBWXKU4Xuq32WYbTyyTPbGY8+VCP3nrrbeC2bfdF4/Ufhpi9RgZP08fy8tAhZK1AH1ZofhYZZVVPHEs44kVoz0OBeMkk0xit7MoQMU6skX5L1aPdgxBv1MFolhs+jIkVYDedNNN/hiAetpoo408lEXHO237YR8NUHa0Px1D0P7EatC2AbFy82VB30MfcwOUiRhDNX2xoLPKRbRdtxzgB8VvMKgCFOOpWFb66Wh6UIoWUbfavzFWL7vssjYfKA3F6tP2NS076gAfaNZbbz0bB+MOyidW/i2yoU0HQx4WecuIPuvW9XTTTeePk19//XVQ1ND9pPcpXJxnrMX1efp6nIIKaccF9D+9f2id4+OMHpO1xu3lUEThvqztEP0e4yE+nq655pot9yyME8EPp3Ey5umredpYHBc9p/0E5db2lPZZKa+MedqGliPPOB5Xd0kUoFnuwZA7L7c87Uq58bcZBKgAbUY9s5QkQAIkQAI1IyAOjewLvL6A4FemYNqXV3zZl6nTPSwto4roPtQjnU022cST6eR+dFjIrLXWWv7LDqywgkGVnLBchCIxGGBZoko2KCC+/fZbP4r7Yon8oaAUJ0+eTIu3yj5Y/iHEKcmCZdh9991tfM0EFnwyjdwvw8UXX6yn7C9e6LQM4HjGGWe0nIdiy70ecl511VUtcdrtJHk5QLpQJsCSSwNku+SSS3zZYW0m0xP1tP2FdSquhYIiLOAFVK1KZSkDT6attkQDHyizkAb+oORwQ16+SCtOxri6lemVniyLYOWS6ZdeUEmIFzIoc1X2a665xhW9RUGEOGn5XnvttX7aZ599dkvasIQ77rjj/POHHHJIy/kkO3ghhFxod8F6da/X9pmlj7kKpCwMIIerqIUsriU12uhBBx3kc0AeaRWgSEOtk6F8O/PMM93iezI118NHAaStf0kVoIMGDbLXyDRta7nlJizTSD20K6SJDwRBhRiswlX5CsXZww8/7F5u26NaxOJ69wMRrCFV1p133rlH3mir+lEC/S8YVAGqaeCD0kMPPeTJtFXv4IMPttGLqNtg/0a+rmWkTLv3y6GKMVifutb8V155pR8HH42CIQ+LIsqIe5pyxEyEtCHpfSrvWAu58vT1OAVVmjKrZed2223X4zK0P2WJ2SiYdeEG9CH3Y+Yxxxzjno61AM3TV/O0sRYBI3aC/STLs1JeGfO0DRQr7zge177KfMbJyy1Pu4poDjzcpQSoAO3SimWxSIAESIAEuoOAOECKnJaLFxhYaWDaIl4go4L7UI8p5O70bL0Gyg6dRghLDzfIep3+y1BwirYbD9PW9aUJyk0NwRdLcfCkp1p+45RkbhnCXr6R0FuixNT8119//Za03Re64PR6jSiOanwrV6RTlgLUVX5q3viF1aHKP3r0aPdUrHIRETF1EddCeQFldFiAMgMWd4gHZa+rjMvLF/llVYDCCg0ywfIOSrCwgBduWNchHhToaCsagsqTtHx1uQlZ79XDh4dgUG5YQgDLN6QNqliHYjYq5O1jeRlALrV+xlIM7gcSV2Z36Ym0CtB7773X1h/qcOjQoW6y/rasMehbYiJeEgUo+i3i4i/s4w0Sv+KKK6ySE+0/+HEASke9Pqj8VMGOPPJIP45+XJF1NX3FvVqxa3z3F3lr+jfffLN7ynMVoODv9kmNWETduv0b9wBXsan5wApV5QzeAzTO6quvbuOgD7ohL4siyli0AjTqPpV3rM3b1+MUVG6dtNuOU4BiSQa0BVmHO3RMRNqYIq7PDLAYdkOUjHn6at425soXtR3sJ2mflfLKmLdtoFx5x/GoukPaSRWgae/BebnlaVcoF0OzCLT3EiCjHwMJkAAJkAAJkEDvEJDp5NYBhTx4Wqc8rhRwaCDr1hmZlmZEuWLEqtE6EnLjBLdFSWVkHbfgYSOWT77zA3W4o5Fkqrh1sCTKT7P55pvr4R6/cOKhAbKFBcSRl6uwU4mP7bfffqFxwQBOkhDkgbglDpweIYg1lom6Hg6I5AWo5bqid8S6w4gCNzRZmXLnHw/K758I2RCliZH1De0ZUcRYZyYh0Yy8rJo99tjDnhLFknnhhRfCokXyieMbmlCCg2KFZh1iIaoo16wTo7DL5GXdiAWiPSUKdSNWw2HRTBa+osyxaYlll7nxxht7pAtucAIDpzFi0dfjfNwBea0wcHaFEOdkrMg+loWBWGf6jspk2QQDZyhhAeORTAkNO9X2mDoCA09ZCzU0PjiI1VXouaiD6PPo1wioP9RjMIiS08gUS+vIRRSA/mlReFsnITiwwgorGFEC+ufcDYy/6DuyPIWR5RnsKVmr1KaJHbGWdKO3bCNv5YlrooIo4ts6mcpSt8H8MP6hDoIBzuA04D4RFnSMRx+EsxENRbIooowqV9bfqPtUEWNtkX09a/naXXfssccaWfPWiLI/0oEU+pw6Koy63wfzydNXi2xjQbnC9rM8K+WVMW/b6MQ4HsbKPZal/+bllqddubJzuxkEet79mlFulpIESIAESIAEakMAnq1lvUf7J1aOVhkpX9itt2OxerHlgNdMvKBD2aLKsLAC6gts2DkoguD9WqzrWk7LlFzrBRmekIMBL4RiMWC9mbvKISgWwgI8x+YN8EYcFaCkAwOxcGqJAoUfgkyTMjJFv+WcuyPr47m7hW+3k10zDMqvx8N+xXrCiKWKPQUlqlhThUWzx/CCpQEez+GpOhjayRjGN5hG0n2ZfuxHlfVQ/e2wDZlC7B+GN+Kw0E52vcblC6WxTDe2p8TC05x++ulm7bXXNquttppVdkHhl8SLtKbt/kLBq30hzht4kX0sCwP0e1m2wooOb+BRAWORrAdoPVdHxYk6Du/oCDId3X5wiYqHdnDddddFne5xHB90ZJ1KIw6+jFg/G7RxsU41Yq1o0GbQ31GHYYpbtD/UEQK80EcFWaLBnHbaaS2n0X8QxGLWlimu34lzL6tA12taEvr/nSRjY5a6DeYFz/RhQdZ29Q9HeXpXRTMiog/pxzQtVxEsiiijX5CMG1F1UcRYW2Rfz1i8tpdBya+K/mBkPGvgHiCW1NaDPM7rGBeMG9zP01eLbGNBucL2szwr5ZUxb9voxDgexso9lqX/5uWWp125snO7GQSoAG1GPbOUJEACJEACXUJA1oc0ssC9/YN12RNPPGGVNzK91JZQpsNbSyZx7hNaYlcBFowg06ftIaQbFaB4xYsPLOKgPHj99ddbLIGirtPjssafbmb+jVMkicMcmy4sIdygClAoSOMC+JYZksiO/IPyx8kka2j6p2UtNoO/JEFfOoJxk8iYRr5g+u6+qwBtVzc4DyUW2meUAjSJ7MjflV+mqNuPBrKGo32Rl2mI1ioV1o5TTz21VaSJIyADxVyY5ZxbnuC2a8kbZwHqXpe3j2VhoMpJyKFWXa5M7jbKIetquocSbWseSdJPlKATCePeOuusY8fDTz/91MiauvYPimvxOG8VorBeD9aBfkBCUnHcnKz8Te13P/zwg5HlEfzjcRtQUKD9hiljk4yNcTLq2If83fYdlMdVdAbP6X5UecLkxjVFsiiijFqOrL9RdaHlRLpFjLV5+7pbPlmf2IhDOvdQy7Y4+jKyNEzLsXY76EuwBBVP7/aej3EXlvB5Qta+quyL6m/typDlWalIGbO0DR1jUbYk42yWcbwdtyz9twhuWdtVu/LwfPcRoAK0++qUJSIBEiABEmgIAbyMilMRc88991jrJPFwbEuOqfBRClD3JTkNJlh8iNMDf5qsey2sgmA5KR6zjTiUcU/12MY087wBVkZpAqxTMGUToV35MdW6zJBW9iSyyPqtSaL1iPPee+/1OIYDZcgYmpEcfP/99/1T4nHa3w7bgFyoP0xlxot5WMgqO5aRgHUjrPxgSYiXbAQoyC699FL7B0WaeH+2FpBheYcdk7VL/cPtyldUH8vCAIo5DbIWqm6G/kIpnCVoHmWkD4UdFAaYon755Zf7CnJYqMMqFH/Dhw+39etO73brp51cwTJn6Xfff/+9EYdkJtgWoFjH+NkuZKnbYJrtxsBg/CT7RbIoooxJZI6LE3WfylJO5BMca4vq624ZYJnpjqfuOWyj7aUJ+ACE8RDjbTDAQlYcJ5qrr77aBJfMCcYN7mftq1nYR/W3oExh+1n6SREy5mkbOsaiPO3Gs6zjeBgr91iW/lsEt6ztypWd280gQAVoM+qZpSQBEiABEqgRAfHybsRxhl3HEpYXWJ+zXRCv6AbrdkFhE7W2Y7s0os5jijumk6oSEVNFMR0e06fxh+mSsB7FOk7tFKBReZR5HMoFWH5h+mLwRTSYb7vzwfhV2HctPaD8SWrlo9NXe7MMmA6tAdYocdMOMcVYX8ajFBSaVpZftGv84aVZnOEYcYJi7rzzTmvpjPTEO71dYxT9QTy6J8rCtaTTqdZhF/Z2H8PUSw1QooQtjaDno5TPej7qF3mgjuOUNLg2a/qYpg6lDf6gCEDdoQ7vv/9+O70fa1bCyhfWkbvssosV07VWcq1Bo8rgHke/w4s7FOe6xrB7Pmq77I8sUfmWebwpLIoYa8vq61hmAVbQUSHJc4ReK44C7fME9qFIEydHZtFFF7Xjwnzzzecr68Wpl16S6jdLX61DG8srY9620YlxPFVFJ4ycl5tmk6Vd6bX8bQ4BKkCbU9csKQmQAAmQQI0I6JQgWJyp45o48aGAnHvuua0CFFZPUdMs49KIOieelX3lJ9YihUOQsOA6H4EMVQqwWIECFGuoxoU333wz7nQlz7nr1WGK4kQTTVRJOcOEcmXHy19ccM+rU5m4+FnPwfIH63/i7+STTzbimd465sEvlHeYIu860onLB3LqtH1Y/kWF3u5j7tTwd955J0pMe7zd+aiLdep8u+vbnY9K3z2OjzJwKoQ/WPPCMhRKHYQbbrjBV4C6U53bWSHBIQwU8BhnseYo2i6U4lhKAgrxLJZPrsx13m4KC3e8yjrWltXXdWmcvO0IHyCOO+44mwyU+5hhEqU81Xt+nvt90r5ahzaWV8a8baMT43je9hV2fV5uYWkmbVdh1/JYdxP4v8W+uruMLB0JkAAJkAAJ1IqAq1yBVWWSqWuwLvv73/9uywlHP1FrtWUBgTU/EWBdoNPs7YHAPygDNCR1iqDxy/6Fh2cEKEHvuOOOyOzg6b6KQeszbH1WrI2pypcRI0bErv8H5Q8cJcGi55FHHim0qHEyRmWEddb0OteJVlh8TLfUsPzyy+tmrl+8uMPr+eKLL2623nrr0LSg8FKFACKksfaDla1ORYxTgPZ2H4P3c1jPIMCTelSAEjirlTSsyBFgaRnX9mC1mSZgyYI111zTwPkGpo8GA/rGAQccYC3YcA7rJms/wnqYOh0d44IeD6YBq9Fhw4YZWNqff/759jTGWQSMdSNHjrTbYf9wLcYfjOt77rlnWJTaH6sCCx1HADOqHvOCLmKs7e2+3o4BrN+V35AhQyKVn1i/WR0mJr3f5+mrVWhj7djllTFv2+jEON6OQZbzebnlaVdZ5OU19SZABWi964/SkwAJkAAJdCEBPMRivUEEOO9ZcsklrbOhqKLCKQEcfKhna6xnWGTA1FEErJcX5QDhyiuvtJZVmq/Kovu9/QsrWp0eBkuwsGm2V111lV1HsLdlDctfFZyoi2+++aYlCqx/VbEyevRoc84557Sc1x1cB0cZUBLdfffdRl869Hze3zgZo9KGchBryyLAkVeU8gtWgXDigQCFFSzwighwkgPL0ieffNKgDYNfWFCFAM7FeUkPuxYKVIQw5ZzG7+0+BuUnHD0hoB4wbTwsoP24LMLiRB3DGDXeeOPZ0wcffHCooh6MoKRPEyaeeGL7UQPW3YceemjkpSo3xlNXWQalJgIciERN6cWSJDpmbLDBBjb+dtttZ5A3Aqziv/32W7sd/AfLUSg2oFiqwrITQfmK2K8CCx1/UB6tqyLK5qZRxFjb233dLU/YtsqHc+6akm5cKD7dD0ZJ7/d5+moV2pjLIGw7r4zKPuuzVifG8bBy5z2Wl1uedpVXdl5fPwJUgNavzigxCZAACZBAAwjAo6V668WLOdbf2nLLLQ2moEM5AcUoFDawbMJ6fVjvDgGWbH/6058KJQRHSwh4OMf6eu5aebBqg8INSixVMCAu1musUsC0cDhBQQBPeP6Gtec///lPqzyBpctWW23VIrKrJGk50Qs7k046qZ/r4Ycfbq19YY2nAQolnaYIZehBBx3kK2R+/PFHW0ZYyb388sv2EqyBWPQ6mu1kVFmDv1i7Vh3AYP1S1AtkRoD1HNo22qBaQp955pmpvbEH83T3VQGL9gsHOa5nesSDtSKmUiNA+ZpWAbr22mvbazFlNsoKtAp9DM7TFlpoISvruuuua6677jqjU1vhYGWbbbaxTqBshAz/YO0LZSDCQw89ZMBFP6iAPabarrzyyqGK0bjs8MEI0x0RoMBE+3AVMlDWwHIdfR0huEbuvvvu63uAxxgLD/KuRRs+jKiSFOMGrKcRsLwB+iICFPQYe2FdqgHLaRx//PH+dHuM55qOxumW3yqwgDM+XZv3pptuMrfffrv9oKVKpaJY5x1rq9DX41gstthi/gcC9Ff0VR0HMB7j2QP3kqeeespPJun9Pk9frUIb8wscsZFXxiLaRtnjeETRcx3Oyy1Pu8olOC+uJwF54GAgARIgARIgARKoIAFRvHiyppMnTxiJ/uQF3BOPrD1KIgox/3p5kelxXg+IJ3cbT5wc6CH7K1NePbHU89MQxaAnL0nePPPM42Eb8skDrCdKW08cDtl9mS7qpyHOk/xrxcGTfzy4IYoKP55YabacTloGeYGwaYjCuOV63RHliC9jkKssxO+JQsOXQV6i9bJEv2IF5l8rCjz/Gnk59I+LEtY/HtyQKbh+PHl5bzktL6E+a5VblFQtcWQJhJb2ItZKnjgV8sTpip8urt1www09UfC0XFsE3zgZ4+oWgqC8opD15RRLOdu+XNlRnmOOOaZFbuwUwVeUoH7eaNOiTPZEGWjbtfKeZpppPFnmoUf+7Q6IotpPWxR0odHz9rEiGEAwWQfTm3baaX155cOBJ5bCHtiDA/q9OIqy28H2F1qwkINiReqnjzRl/Td/fBGLXE+stf3zomzxU4hrQ+IszoOsWleiDLPtB+1fLAP94/KhwxOFmJ+mbqDvuOXGNRgHRWnpXyvKb0+sTPUS+yuKVk/WXvTjIH/5EGDLpLLgVyyzPPFE33ItdiAPzmPcjApF1G2S/i0f0/xyiAVaqDjyYcWPIxblLXHysCiijBBGnPP58il/tw21CBzYSXqfwmV5xtq8fV0s1v0ynnDCCYFSJN/VsVWs73pctN9++/l5gKPMnvBkGQdPPlT5x8Vi3JPlQ+w+xmvUoYY4GfP01TxtTGWL+03ST3B91LMSzuWRMW/bQP4IecbxuLor8xknDzeUOU+7wvUMzSFAC1AZ1RlIgARIgARIoIoE4JEa1mhHHHFErFfmRRZZxJx77rnmscce89ezK7I88NAJKxBYZyHIY5KdMvziiy9ahzuwmoNlIaYx6dR9eINHvKoFWPI98MAD1hs0LF1gGQrLLXnxsRZisPDSoFaJut+bv/LCZS3bREnjixG0VFx66aXNCy+8YOAMA1PCYK0Dq0OdMj/zzDObCy64wFr2Yep30SGJjFF5rrXWWgbtaZNNNrFrUcJqC/uQHdNO4ZAI9aaObKLSyXoc6zrCkhlr/KHdwlv5M888Yy0UYbkH78qweFILnTT5wJGIOtvB0gNhoSp9DFbEkFHX68RUTPRtUdBZBvfdd5+/pmlYOZIcO+yww6yHaV17E06E4EwFbRvjBixN0wZ4wMYaxJhmj/aC6ehoP2j/aEuoA4yR+FMrQTcP9B15gTZbbLGFbX9wnIR9rK2MvrLjjjva9NA+3AAuaDtYukE+CNm8RRFkHSMhHq6FZTnaUlrLYTefOmxXgQXWEcZaq+5SA8FxsgiWecbaqvT1OA7yocmceOKJ/iwULCmA8RfW1OhrWC8XfRUW0wjoY3DYmCTk6atVaGPtyphHxqLaRifG8XYc0p7Pww155WlXaWVl/HoT6ANdb72LQOlJgARIgARIoBkEMPUcUy0xjRbTgTFtCFM/XaVY2STESsauC4YXIbzwzzDDDP50ubLz7kT6mO6qU+ExZdZViHYi/yR5oA7gjRovS7qmYth1Yk1ilTZYGw8OYhAfyqFOhKQyhskCxS3WnoPiDdPq4SEWbb0TAXnDGzicZUH5hTYOxXHeAO++WCcS5YEneXe9wmDaVeljUAKjDqBMwseCOJmDZUiyj2UOsIwD8sHLa1C5mCSNsDgYmzBOog7BG06/MD06aUAbeP31182rr75ql5UQK1LfQVS7NNAvoXBDHWNsRL/DR5Ymht5kAYUcxhAo2Yte6iOsLrOOtVXp62FlwjF8CABHrK87cOBAOx6m6UtR6erxvH21N9uYlqHdb1YZi2obZY/j7cqf9XxWbsgvb7vKKjOvqwcBKkDrUU+UkgRIgARIgARIIAcBeLaGBQvWIdx5551bLITcZGHpBStJWInBKk2mCbqnuU0CmQjgZQ4Kvo8//thAyQ5LQwYSIAESIAESIAESIIHOEeiMGUDnysOcSIAESIAESIAESKAHAVg+nn322dYZChxMhQVZ183oOXiKpvIzjBKPZSEA77xDhw61l0LBzkACJEACJEACJEACJNBZArQA7Sxv5kYCJEACJEACJNALBDCdDOsAwps1pkTutttuZtVVV7VTezHV+d577zX777+/nTYL7+/wSC0ONXpBUmbZrQSwniam1GO6LKyRl19++W4tKstFAiRAAiRAAiRAApUjQAVo5aqEApEACZAACZAACZRBYOTIkdaRC9b40wDLUHcfU9+xXiOcJTGQQNEEoFhXxfvjjz/eVevnFs2K6ZEACZAACZAACZBAkQQ4Bb5ImkyLBEiABEiABEigsgTWXHNN63Rl22239T1Zq/ITXtNxHEopKj8rW4W1F2yVVVYxO+20k3nyySfN9ddfX/vysAAkQAIkQAIkQAIkUBcCtACtS01RThIgARIgARIggUIJYEryhx9+aKfEw1s0Awl0ggA8K8PL+IABA8z000/fiSyZBwmQAAmQAAmQAAk0ngAVoI1vAgRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAt1LgFPgu7duWTISIAESIAESIAESIAESIAESIAESIAESIAESaDwBKkAb3wQIgARIgARIgARIgARIgARIgARIgARIgARIgAS6lwAVoN1btywZCZAACZAACZAACZAACZAACZAACZAACZAACTSeABWgjW8CBEACJEACJEACJEACJEACJEACJEACJEACJEAC3UuACtDurVuWjARIgARIgARIgARIgARIgARIgARIgARIgAQaT4AK0MY3AQIgARIgARIgARIgARIgARIgARIgARIgARIgge4lQAVo99YtS0YCJEACJEACJEACJEACJEACJEACJEACJEACjSdABWjjmwABkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkED3EqACtHvrliUjARIgARIgARIgARIgARIgARIgARIgARIggcYToAK08U2AAEiABEiABEiABEiABEiABEiABEiABEiABEigewlQAdq9dcuSkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEDjCVAB2vgmQAAkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0L0E/hfyKsR2rAYFFAAAAABJRU5ErkJggg==" width="672" /></p>
<pre class="r"><code>ggsave(
  here::here( &quot;0_study1_predictors_indices.pdf&quot;), height = 4, width = 6)</code></pre>
</div>
<div id="predictors-of-headline-sharing---demographics" class="section level4">
<h4>6.3.2 Predictors of headline sharing - demographics</h4>
<pre class="r"><code>load(here::here(&quot;final_data.Rdata&quot;)) # Load study 1


# Pivot
d = df %&gt;%
  group_by(resid) %&gt;% 
  mutate(
    mean_all = mean(sharing_all, na.rm = T),
    mean_fake = mean(sharing_fake, na.rm = T),
    mean_real = mean(sharing_real, na.rm = T)
  ) %&gt;% 
  mutate(sharing_disc = mean_real-mean_fake, na.rm = T) %&gt;% 
  ungroup() %&gt;% 
  pivot_wider(
    id_cols = c(resid, 
                female,
                educ3,
                vote_next2,
                age4,
                income_hh,
                starts_with(&quot;mean_&quot;), starts_with(&quot;index_&quot;), sharing_disc, starts_with(&quot;trust_&quot;), treatment),
    names_from = headline,
    values_from = c(sharing_all,sharing_fake, sharing_real)) %&gt;% 
  select(!starts_with(c(&quot;sharing_all_&quot;,&quot;sharing_fake_&quot;,&quot;sharing_real_&quot;))) %&gt;%
  mutate(educ3 = haven::as_factor(educ3),
         income_cat = as.factor(case_when(income_hh %in% c(1:4) ~ 1,
                                income_hh %in% c(5:8) ~ 2,
                                income_hh %in% c(9:11) ~ 3)))

# Define vars
dvs &lt;- c(&quot;mean_fake&quot;, &quot;mean_real&quot;, &quot;sharing_disc&quot;)
ivs &lt;-   c(&quot;female&quot;, &quot;age4&quot;,&quot;income_cat&quot;,&quot;educ3&quot;, &quot;vote_next2&quot;)

# Specificy formulas
fs = crossing(dvs, ivs)  %&gt;% 
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;)) 

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 = fs %&gt;%
  mutate(model = map(f, ~ lm(formula = as.formula(.x),
                             data = d)))

# Pull the &quot;model&quot; column and save data
m_temp = m0 %&gt;% 
  pull(model) %&gt;% 
  modelsummary(output = &quot;modelsummary_list&quot;,
               vcov =  ~ resid,
               statistic = &quot;conf.int&quot;) 

m_long = list(NULL)

# tidy each regression and bind them together
for (i in 1:length(m_temp)){
  m_temp[[i]] = m_temp[[i]] %&gt;% tidy() %&gt;%
    mutate(model = ifelse(i %in% 1:5, &quot;False headlines&quot;,
                          ifelse(i %in% 6:10, &quot;Real headlines&quot;,
                                 ifelse(i %in% 11:15, &quot;Sharing discernment&quot;,
                                        NA))))
  m_long = rbind(m_long, m_temp[[i]])
}

m_long %&gt;%
  filter(term != &quot;(Intercept)&quot;) %&gt;% 
  mutate(term = recode(
    term,
    &quot;age435-54&quot; = &quot;Age 35-54 (vs. 18-34)&quot;,
    &quot;age455-69&quot; = &quot;Age 55-69 (vs. 18-34)&quot;,
    &quot;age470+&quot; = &quot;Age 70+ (vs. 18-34)&quot;,
    &quot;educ32&quot; = &quot;Education: \nShort/medium-cycle \n (vs. Upper secondary)&quot;,
    &quot;educ33&quot; = &quot;Education: \nLong cycle \n (vs. Upper secondary)&quot;,
    &quot;female&quot; = &quot;Female&quot;,
    &quot;income_cat2&quot; = &quot;Income: \n400,000-799,999 kr.\n(vs. 0-399,999 kr.)&quot;,
    &quot;income_cat3&quot; = &quot;Income: \n800,000+ kr.\n(vs. 0-399,999 kr.)&quot;,
    &quot;vote_next2&quot; = &quot;Right-wing&quot;
  )) %&gt;% 
  ggplot(aes(x = estimate, y = term, # Punktestimat
             xmin= conf.low, xmax = conf.high # Konfidensintervaller
  ))+ # Gruppe markør
  facet_wrap(~model, ncol = 4) +
  geom_point()+
  geom_pointrange(size = 0.3)+
  
  geom_vline(xintercept = 0)+
  geom_text(aes(label = sprintf(&quot;%0.2f (%0.2f)&quot;, estimate, std.error)),
            vjust = 2,
            position = position_dodge(width = 1),
            size = 3)+
  scale_x_continuous(limits = c(-.15,.15))+
  labs(y = &quot;&quot;,
       x = &quot;Sharing intentions (and discernment real-false headlines)&quot;)+
  theme(text = element_text(size = 10)) </code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(
  here::here( &quot;0_study1_predictors_demographics.pdf&quot;), height = 4, width = 6)</code></pre>
</div>
<div id="partisanship-interaction" class="section level4">
<h4>6.3.3 Partisanship interaction</h4>
<pre class="r"><code># Partisanship 

load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Define stuff
p = ggplot(NULL) # Create empty list to store results
raw = list(NULL)
m = list(NULL)

# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ins &lt;-  c(&quot;vote_next2&quot;)  
ivs &lt;- c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs, ins)  %&gt;%
  mutate(
    f = glue(&quot;{dvs} ~ {ivs} * {ins}&quot;)
  )

# Run apply function on dataframes
for (i in 1:length(df)){
  raw &lt;- fs %&gt;%
    mutate(model = map(f, ~ lm(
      formula = as.formula(.x),
      data = df
    ))) 
}


# Coef labels
cm &lt;- c(&quot;treatmentNudge&quot;    = &quot;Accuracy nudge (vs. control)&quot;,
        &quot;treatmentShort&quot;    = &quot;15 sec video (vs. control)&quot;,
        &quot;treatmentLong&quot;    = &quot;3 min video (vs. control)&quot;,
        
        &quot;vote_next2&quot;    = &quot;Partishanship (Right-wing)&quot;,
        &quot;treatmentNudge:vote_next2&quot; = &quot;Accuracy nudge X\n Partishanship (Right-wing)&quot;,
        &quot;treatmentShort:vote_next2&quot; = &quot;15 sec video X\n Partishanship (Right-wing)&quot;,
        &quot;treatmentLong:vote_next2&quot; = &quot;3 min video X\n Partishanship (Right-wing)&quot;,
        
        &quot;(Intercept)&quot; = &quot;Constant&quot;)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)


# Define the three models
models &lt;- list(
  &quot;False headline sharing&quot; = raw$model[[1]],
  &quot;Real headline sharing&quot; = raw$model[[2]])


##  Produce table
modelsummary(models,
  title = &quot;Effect of interventions X partisanship on sharing. \\label{tab:partisan_interact}&quot;,
  vcov = ~ resid + headline,
  stars = c(&quot;*&quot; = .05, &quot;**&quot; = .01, &quot;***&quot; = .001),
  coef_map = cm, 
  gof_map = gm,
  output = &quot;latex&quot;) %&gt;% 
  kable_styling(position = &quot;center&quot;, 
                latex_options = c(&quot;scale_down&quot;),
                font_size = 7,
               full_width = FALSE) %&gt;% 
  readr::write_lines(file = here::here(  &quot;intervention_partisanship_interaction.tex&quot;))</code></pre>
</div>
<div id="are-threat-appraisal-self-efficacy-and-response-efficacy-related-to-greater" class="section level4">
<h4>6.3.4 Are threat appraisal, self-efficacy, and response efficacy
related to greater</h4>
<p>sharing discernment?</p>
<pre class="r"><code>load(here::here( &quot;wave3_data.Rdata&quot;)) # Load data

df &lt;- wave3

# Define vars
dvs &lt;- c(&quot;mean_fake&quot;, &quot;mean_real&quot;,&quot;sharing_disc&quot;)
ivs &lt;-  c(
&quot;respeff&quot;,
&quot;selfeff&quot;,
&quot;threat&quot;)  

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))


# Calculate means and sharing discernment
df &lt;- df %&gt;% 
  group_by(resid) %&gt;% 
  mutate(
    mean_all = mean(sharing_all, na.rm = T),
    mean_fake = mean(sharing_fake, na.rm = T),
    mean_real = mean(sharing_real, na.rm = T)
  ) %&gt;% 
  mutate(sharing_disc = mean_real-mean_fake, na.rm = T)

# Widen dataset, as we change the unit of analysis from headline to respondent

df = df %&gt;%
  pivot_wider(
    id_cols = c(
      resid,
      starts_with(&quot;mean_&quot;),
      starts_with(&quot;index_&quot;),
      resid,
      threat,
      selfeff,
      respeff,
      treatment,
      sharing_disc
    ),
    names_from = headline,
    values_from = c(sharing_all, sharing_fake, sharing_real)
  ) 


# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df, 
    clusters = resid
  )))  


# Edit model for visualization
m &lt;- m0 %&gt;% 
  mutate(tidy_model = map(model, broom::tidy)) %&gt;% 
  unnest(tidy_model) %&gt;% 
  filter(term != &quot;(Intercept)&quot;) %&gt;% 
  mutate(term = fct_relevel(term, &quot;threat&quot;, &quot;selfeff&quot;,&quot;respeff&quot;),
         outcome = fct_relevel(outcome, &quot;mean_real&quot;,&quot;mean_fake&quot;,&quot;sharing_disc&quot;))

# Create model
ggplot(data = m, aes(x = estimate, y = term, group = outcome)) + 
  geom_point() +
  geom_errorbar(aes(xmin = conf.low, xmax = conf.high), width = 0) +
  facet_wrap(~ outcome, ncol = 1) +
  
  geom_vline(aes(xintercept = 0),
             colour = &quot;darkgrey&quot;,
             size = 1) +
  geom_text(aes(label = sprintf(&quot;%0.2f (%0.2f)&quot;, estimate, std.error)),
            vjust = 2,
            position = position_dodge(width = 1),
            size = 3)+
  scale_x_continuous(limits = c(-0.29, .19))+
  scale_y_discrete(labels = c(&quot;threat&quot; = &quot;Threat appraisal&quot;,
                              &quot;selfeff&quot; = &quot;Self-efficacy&quot;,
                            &quot;respeff&quot; = &quot;Response efficacy&quot;))+
  
  labs(y = &quot;&quot;,
       x = &quot;Sharing discernment&quot;)</code></pre>
<pre><code>## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.</code></pre>
<p><img 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avszE6dOrksTQU5FYDUz5FsNSepslNvueUWFxQPBtj1XCdMmOCeu+YsVfbu7Nmzna+eh7JGtTK9MhGGDx/uAtHKEI4dluWzeRVYj33mvm/6Gfvtt9/8ZtSrMlApCCCAAAIIIJA+AvrMoc8glNQJ6LNUokWf5/XHa31WLkhFo4rCikZOxSZVhJ2Xl336DLzffvvlpQquRQABBBBAIKUCBTIA+vrrr2cZsq1gkAJTyq5bsWKFC9QpA1OZnb4oy1JBRS2cM2bMmKhhyWeccYYLsr3zzjsu689n3b355pvu8ptuuikyt+Txxx9vZ511lgugKqtQw50196gvGvqu4OuoUaMi81MqkKaApDL6lN2ngJiGkOsD8R133OEuveaaa1ydvp7TTz/dTeiutuq6sWPHukxHf1wBUAXJNOl7yZIl3e7zzjvPBde0cvorr7wSCYDOnTvXffBWO3ywVRe0aNHCDe0eP368y1z0AVAFVUeMGOGCn5dffrkL3Pn76hqtsq7gpM5REDSnklv75s2buyplqACoArl6br7IWAFQTXLftm1bvzvuq/qsXzwUgFR/fFEwWFm/Gub+0ksvuWNTp051wU/Vrf75of4KTusDpYw1jF6B4KZNm7qqfNBZbdTz0NB3FR1v2LChC3xrcS4F3ZVxq7p0H/0sxwZAtU+lVatWUT+/buf/vunn2GfFBvfrvW9v7H62EUAAAQQQQGD3CGgkkUYaUXaPgD7X6vNYQSua915/dI8t1157remzd34WjWhTogYFAQQQQACBdBEokAHQ+++/P1tfBecU/FR2YLBotXAVBcCCwTTt0/yfLVu2dIFJBQN9AFTBNxUFyIKL6yjApUCX5nEMm6NRQbXYleoVxFMQTH+RVZafhpEriKbsRA11Dwvk6cOyshQ1rF8BP2UvBouO++Cn36+gmwKgCgT74vuheVEVvAvOdyoPtU0BWl+UlarMSAVYwz6wK3CoOZe++OIL+/LLL+3www/3l4a+JmMfWlESO3/++WfTnKl6TloNNFgULOzdu7cbPq/5PVWUYarh6kcffXSWYKJ+burXr2/z5893QVJfl/+QqSxhH/z0xxQw1mT8WrhLQ+MVANUQfQVANWxfgW8ftNQHdB8ADZuSwNfJKwIIIIAAAggggAACCCCAAAIIIIDA/xcokAHQCy+80GVCKlikDEoFERXkUoBL8zZq0ZmwoiCYirJCFeCLLT5wpWCnLwomKstTGZiae1LZn/qqW7euG+Lsz4t91RDz2KIglwKFCkxqGL0CoL5NGursg2DB67QAkgKvuibYLn+OAqexxQ9H8QsI6bgWYFIATvf7v//7PzvhhBPcMHgFejUcSAshBYtvl4KiCt6FFbVfQ7jVrpwCoL6+3NiH3TOZfcrQVdHPRXDIuq/r2GOPNX35omcRHHqu4LH8FbRWsFeZxio+qKz3/h5h84Jq2gAF5INFWQgaIq9guLKW/c+LMnX1s6w5X8Oera9DP6snnnii34x6lfH7778ftY8NBBBAAAEEENh9AppKSX9op6ROQNNLBedcz6lmfeYNJgDkdH4mHI+d6su3WZ/LYxMx/LFUvSohgIIAAggggEA6CRTIAKjmuwz+T12BPs3bqWw6DfnQIjjBBW30QDSvozIfVYYOHepe433TAjhbtmxxQVbNBakgq7JCNSemvjQkXUFDzYmp48FFkFSnFr2JzTD19/LBSQVVNcTZBzWD2Zf+XP/qV60MLu7kj/mgrd/Wq1+hXAFiXxT8fPjhh938RwrgvfHGG+5LwTl9gDn//POjPpj7eYOU6dirVy9fTeirVkjPriRrn12duTnmg5OaizXRoqxczeepuUYV+AwGk2MD1TrmF6HyzzeR+2jaBc0bqmfhA6DK9lXRseyKslP1cxhWFJiNXTQr7Dz2IYAAAggggMCuEdDUPn56n11zx4J/F00ppTnsEymamkrzuMd+hkvk2nQ+R58/NZd/bLnhhhtMi3xSEEAAAQQQKEwCBTIAGvsAlSU5cOBAN8ejMug0X6eGZ4cNTde1mitH1yRSFCDUEGUtyuPnB9ViOBpKrjkjNffNfffd5+ai9PUFA49+n3/V4jUqZcuWda++HcEAmzsQ+LZ582a3FfahLTjHaeCS0Lea01JD8BXU01/NlTmrQKeCnPrScHYFkINF2adaMCi7kpsPWLmxz+6euTnmFwXKzjhYn7JaNb+m5ljV89Ecncr41dQKyqTVSu+ajiBY/D2CWaHB42HvNcerfk71M6R76VlqRVMF0PklKUyMfQgggAACCCCAwP8X0BRGSnrQH9pzKlq8MuxzdE7XcRwBBBBAAAEEMkcgsShf5vQnbkv1oWbAgAFuQRsNIdaK4w888IBbDEkXKWNUw16UBarhzrkJ2ul6/eW4TZs27kvZoVrde9iwYabVF19++WU3j6TOU9ECPVqUKSwLVG1T8Qvf+Hkng/N1uhMC35SNqBIvoBs4Nce3ctIQID/HqbJBFRRVMFfzhmqRIGW3ani2ilZeb9euXY71ZndCXu2zqzuRY354kDJ7w4oCzMrC1HkKcGpRKgUkNXengumxw+b9s/JBTwVJK1eu7IbG6x6xGcG6pwLzCporM9NniepnSs9BgWh9KQCqbGMtkBTMcA5rM/sQQAABBBBAAIHCLKCRPVrdXaOY9Nk8XtHn2HgLR8a7hv0IIIAAAgggkHkCfy+Bnnltz3WLFYTyw7UVcJo8eXJUHZqzUkWZnGFFgUwtkqPh9CoKVvbo0cPNmRmcY0gZesqK1FyaKhrOHls0zCa2rFu3zpQ9quIDsMrKVFFGoc/0dDv+90339QvshM0vGTw3u/dahKhDhw5ukafgeRpe36dPHxccVuaqH8rtrT7//HMXuAteo/fKZO3atat169Yt0qfYc4Lbvr5E7YPX5vW9v7cyXMOyBNRHTYugKQL0jJYsWeJuqakWYoOfCoz66QGC2Z41atRw1yizNqw8+uijLks59mfFL3SkVd19VmlOw9/D6mcfAggggAACCCBQ2AT0OUqfLYMLlXoDLVSqIfL6Q79GdFEQQAABBBBAoGALFKoAqB7lWWed5Vbv1nsFnX799Ve9dUWrnas8//zzLiPPbfzvm7IsNbRZ8z36+TiVqaf5LTX3pv7CHFt8YFJZg7FF8zP6bE8d0/Br1a8AmlZyV5alykknnWS1a9d2w/cfeuihqIV1dI2yWBW0U4AtuDCPuzgX3zTkXgsR6UOggnzBsnDhQpcZq2CfnztSHyQVcFUA9p577skSnJWt5kNVwNRnswbrjH2fW/vY6/OyrfYp0/KPP/5wPxM+c1N16nloGLqKhp3LwA+R8sFqd/CvbwpQKyNUGb4qwWwDBZdVJk6cGAkiux1/fZs+fbpbPEnPIPYZ6vkr21OBUwXNNadrcEEmXwevCCCAAAIIIIAAAlkFtDipPrNpiid9prv//vvd6Cx9ttfnttxMF5W1dvYggAACCCCAQKYIFJoh8MEHcv3119tll13mhhMPHz48MkG6gnrnnnuuG+6tTNFmzZq5eR21IruGtCsYpgDgxRdf7KrTX4u7d+9ugwcPtrFjx9qMGTPcytsKhM2aNcsFRzX8RnM5xhYNtVcGoYZRK/Cl4JbmltRK5Bqq74s+lGmFcM29qSHoWmVcC+IoSKcA6+LFi91q4Pow5+cL9dfm5vW0005zGbFaEOiCCy5wgTgFBpUVqWxZFfU7mPF43XXXuQxYZSdqsSdlvaoNylRUMFU++mCpBZZyKrm1z6m+3B7X0Cc9yylTprgV2xUQ1Qdj9U3PXauyt23b1vVPQ9A1obwC0rLRMT0H/YxoiLvc9CyDwXUtJOV/tq688kr33BVAV/26Vlaap1bZw8Gibf2M6Nmr6Bn4AGzwPN4jgAACCCCAAAIIxBdQQkJYUkL8KziCAAIIIIAAAgVJoFAGQDWXozIOlaX4/vvvu8Clsi5V+vXrZ0cccYQ98sgjbr+CmioKRGmOT11XqlQpt0/fWrZs6d6PHj3aZYcqQ1RFgUIFBBUA9Nmc7sD/vml+UAXQXnjhBbdH52hos4aMB4OMOnj44Yfb008/7TIt9ddrBWRVNEekVorXwkFh84m6kxL8VrJkSTfM2686riCmH3KtqQMUrI0N5Gro+Lhx40xBZJ07fvz4yN2Utaoh8Pqre6Ilt/aJ1pvIecqglbGGuit4rexVFQUb9dzVfx9gVkC6RIkS9tprr7lAqIKhOk8rrysbVvO7amEsLV6kwKofVqX+KcCtn7upU6dGmqV7a6L+2OxPf4Kyln0AlOHvXoVXBBBAAAEEEEAAAQQQQAABBBBAIDGBIn/N67gzsVML31nK0lRAU0OQNew9NjAZFBGjFjzSsHbNKXTQQQeFDqlRpqUyCl988UUXwFSwTJmCtWrVCj0/eA+917Dq77//3gVh/QJJsefkdVvtU/ajhtYryJnIgjsajq+pADQkXlYaqp2Xkhv7vNwn7FoZK4NV2bda7Cnec5ePpkBQ8LN69epZsjfD6vb79LOiBaZkpUB2dkUZop3+yrBV9vGoUaOyOzWhY5qbVHUNGjTI2rdvn9A1nIQAAggggAACCCCQWQKaikp/qI8tGuXm1xuIPcY2AggggAAC6SigkdYafTtkyBCXpJZMGwtlBmiiUFoVvkGDBgmdriw/BbJyCmbFVqaV23OzersyUZVdmZ9FGa5+YaBE76PsSGUypqrkxj5V9/T1yDiRD4UKDNetW9dflqtXrQQfthp8WCWvvPKK23322WeHHWYfAggggAACCCCAAAIIIIAAAggggEA2AgRAs8HhEAK7S0DZtBpmP2fOHDcnrQLCyh6mIIAAAggggAACCCCAAAIIIIAAAgjkToAAaO68OBuBXSLw8MMPuzlEdTNlF/fv3z/uUPxd0iBuggACCCCAAAIIIIAAAggggAACCGSoAAHQXfzgmjZt6ubxjDev5C5uDrdLUwGtUrpo0SLTgl0a+q4FtSgIIIAAAggggAACCCCAAAIIIIAAArkXIACae7M8XXHLLbfk6XouLhwCWnleXxQEEEAAAQQQQAABBBBAAAEEEEAAgbwJFM3b5VyNAAIIIIAAAggggAACCCCAAAIIIIAAAgikrwAB0PR9NrQMAQQQQAABBBBAAIG0E/jiiy/cIo1z58617du356l9ua1r8+bN9umnn9rkyZPt22+/zdO9dfHs2bOtd+/e9vvvv2ep67fffrN33nnHXn31VVu1alWW47nZkdu6tm7dagsWLLApU6bY9OnTbfny5aG3e+utt+z66693U2yFnsBOBBBAAAEEEHACBED5QUAAAQQQQAABBBBAAIEcBRSQO+GEE6xBgwZ23nnnWaNGjWzfffe1hx56KMdrY09Ipq6JEyda7dq17eijj7bzzz/fva9cubI999xzsdUntK1g6mWXXWa//PKL7bPPPlHXDBkyxA488EBr1qyZnXXWWVapUiXX95UrV0adl8hGbuuaMGGC61u9evXs3HPPtebNm1u1atXcvPBLliyJuuURRxxhjz/+uN1+++1R+9lAAAEEEEAAgWgB5gCN9mALAQQQQAABBBBAAAEEYgQU+DvttNPsxx9/dPOUt27d2r777jsbOXKk9ejRw/7880+XiRhzWehmMnUpC7Ndu3ZWtGhRFwi84IIL7N133zUFRS+99FJbu3atde/ePfR+8XYOHjzYFFD873//G3WKApaat1/B1YEDB9r+++9vL774or388st20kkn2fvvv++ORV0UZyO3db3wwguun8WLF3euCjivW7fOnn76aZs6daop63bevHlWvnx5d8eKFSta//79XTs1f3zDhg3jtITdCCCAAAIIFG6BIjv/KoWbgN4jULgENFRNGQWDBg2y9u3bF67O01sEEEAAAQQQSEqgZ8+e9uCDD1rXrl1t1KhRkToWLlxojRs3Ng3Z1jBtZYTmVHJbl35dqVGjhi1btszuu+8+69OnT+QWb7zxhrVq1coqVKjgMjkVIE2kLF261OrUqWOXX355VH9++uknq1mzphUrVsw0PP/ggw+OVNetWzd77LHH7KabbrI777wzsj/em9zWtW3bNhdsXbNmjRv6riCzLzJQNqiCsAo4K/Dsyx9//GHVq1d3mbkzZszwu019nDZtWmTbv1FWq/pOQQABBBBAIFMENGpDf+TTHxaTXTA6sU8ImSJCOxFAAAEEEEAAAQQQQCClAvql48knn3R1XnvttVF1161b1/0isnHjRhszZkzUsbCNZOqaP3++KZhYrlw569KlS1S1LVu2dAHL1atX25w5c6KOZbehQKoCjp07d446Tf3csmWLCzYGg586acCAAVakSBFnoX7kVHJbl9qv4KemFggGP3Uf3VdzfarMnDnTvfpve+21l1100UX29ttvuzlN/X5eEUAAAQQQQOBvAQKgf1vwDgEEEEAAAQQQQAABBGIEPvvsM1OAU/NNKuAZW9q2bet2TZo0KfZQlu1k6lLGx4YNG9zQ7zJlykTVqcCgH9Dmh4VHnRCyoSDj6NGj3Ryfyl4NFh9c1HD72HLQQQfZcccdZ7/++qsbBh97PHY7t3Upi/Xee++1vn37xlblthXoVNGQ+Njis2GGDRsWe4htBBBAAAEEEPhLgAAoPwYIIIAAAggggAACCCAQV+Dzzz93xzQMPaz4/V999VXY4ah9yda15557uoBlVGV/bWgBJs1FWr9+fatVq1bs4dBtBWo1bFxBQwVQgyXZ9gXr8O9zW5cWeLruuuvskksu8VVEvWoeVJVjjjkmar82Tj75ZLdQk+9blhPYgQACCCCAQCEXIABayH8A6D4CCCCAAAIIIIAAAtkJ/Pbbb+6wFtwJKz7zUpmVO3bsCDslsi8VdSmweOWVV7qV0TUfpgKCsQsZRW4Y8mb69Olur7I5Y0ui7VMWaE4llXVpPs+hQ4e6gK36Hls0Z6kcNBfre++9F3uYbQQQQAABBAq9AAHQQv8jAAACCCCAAAIIIIAAAvEFfv/9d3dQQ7TDSnDhI60Gn11JRV2TJ0+2J554wi26pHsdffTRVrZs2exuG3XMBwgPPPDAqP2a19PP7Rmvrz7Ym1M/U1mXgq1a6Gn9+vWmhZiaN28e1W6/4fvj++f384oAAggggAACDIHnZwABBBBAAAEEEEAAAQSyEdDw8+yKn4NT5+S0Cnsq6rr00kvt+++/t7lz51rv3r3t8ccfd3OTfvjhh9k10x1TW1esWOHe+4Chv6h48eJu9Xe/HfbqM1xz6meq6lI/Nbx90aJFdsopp7g5QsPapX2ao1Rl+fLl7pVvCCCAAAIIIPC3ABmgf1vwDgEEEEAAAQQQQACBQieg1cOrVKmS5ev44493FjqmoiHuYcXvV9CvdOnSYadE9qWirkMOOcQF+7Qo04gRI6xfv35ulXgFQ3MqGpau1d81ZNy3xV+jffvtt5/b9H3yx/yr37/PPvv4XaGvqajr008/NT2DBQsW2BlnnGGvvPJKtr4+oJvI8PzQRrMTAQQQQACBAixAALQAP1y6hgACCCCAAAIIIIBATgIarq2syNivX375xV3qA4U++Bdbn98fb9h48PxU1uXrvfrqq93bOXPmuNXq/f6wV5/BWaJECVPANrYk2j4/FD72+uB2XurSgkfK/Fy5cqVdccUVNmXKlGyDn7qvDz77PgbbwnsEEEAAAQQKuwAB0ML+E0D/EUAAAQQQQAABBAq1QLNmzeyHH37I8vXBBx84l6pVq7rXb7/9NtRp8eLFbn+jRo1Cjwd3JlPXl19+6TI9p06dGqwq8t4HIzW8fcuWLZH9YW8UpFXwc9OmTRY2j2ei7TvqqKPCqo/al2xdzz77rJ1zzjlupfohQ4a4+U7DgrVRN/trY9WqVW7XAQccEHuIbQQQQAABBAq9AAHQQv8jAAACCCCAAAIIIIBAYRbQvJzVqlXL8lW5cmXH0rBhQ6tRo4bNmzfPFi5cmIVq/Pjxbl+TJk2yHIvdkUxduue1115rt912W2x1bvujjz5yrwcffLDlNDS9SJEitv/++7vzw4aKK/Co4vvkNv73TfNwalh6mTJl7MgjjwweCn2fTF1vvPGGdezY0a32Pm7cOLv55ptD6w7b6QOg/rmFncM+BBBAAAEECqsAAdDC+uTpNwIIIIAAAggggAACCQhoPss+ffq4MxWE3L59e+Sq2bNn26RJk6xkyZLWpUuXyH69WbZsmb3++uv2/vvvR/YnU5dWPVdg85NPPrGnn346UpferF69OtK2zp07Rx2Lt+GDl1pEKbZogSUFSDXkfNasWZHD6vOtt97qtrt27WrBxZzC+qkTc1uXslKvuuoq53v//ffbJZdcErl/Im98fxLJxE2kPs5BAAEEEECgIAkQAC1IT5O+IIAAAggggAACCCCQDwKah1IZlhMmTDANmb/33ntdVmaLFi3cUPK77rorsoCQv/3kyZPt9NNPzxIYzW1d5cqVszFjxrhqlR157LHH2rBhw6x///52+OGHu0WCmjZt6rb9vbN7bd26tTs8c+bMLKcpsKlA58aNG019U+B3+PDhbgX2f//731arVq0s94nXz9zWpfssXbrUtUltqFixYuiXX+09tvHqzx577GGtWrWKPcQ2AggggAAChV4g68zfhZ4EAAQQQAABBBBAAAEEEAgKaNi3sj07depkWqDHZ3UqSPfwww+bX4goeE2898nUdf7559u0adOsZ8+epsWO9KWium6//Xa74YYb3Mru8e4Z3H/22We7IebTp08P7o687969uws89ujRw5SJ6cuZZ55pDz30kDvm9+X0mpu63n777Uh1ymyNVxScjS1aKV4LJrVs2dLKli0be5htBBBAAAEECr1Akb8mC99Z6BUAQKAQCWgIV7169WzQoEHWvn37QtRzuooAAggggAACqRDQ4kHz5893wUdlRAaHg+e2/mTq+umnn0wLMmmVdWWlFi2a+0Ftl112mWmOTfWjfv36cZv93Xff2fLly13mp587NO7JORxIZV2xt7rxxhtt6NCh9uabb5qmDFBRNqmCxrFFGbx16tSJ3c02AggggAACaSuwefNm0zziWhywTZs2SbWTDNCk2LgIAQQQQAABBBBAAIHCKVC6dGlr3LhxSjqfTF0KfOorL0VD9l988UV78skn7b777otblRZ/0lcqSirrCrZn27ZtNnbsWLdyvA9+Bo/zHgEEEEAAAQTMcv/nUtQQQAABBBBAAAEEEEAAgQwWUAD1pptucnOLrlmzJoN7YvbMM8/Yb7/95uZFzeiO0HgEEEAAAQTyUYAAaD7iUjUCCCCAAAIIIIAAAgikp0Dfvn3d6vIaTpepRSvHa8EkzY1au3btTO0G7UYAAQQQQCDfBQiA5jsxN0AAAQQQQAABBBBAAIF0EyhVqpSNGDHCZs2aZb///nu6NS+h9mhBKg2tHzhwYELncxICCCCAAAKFVYAAaGF98vQbAQQQQAABBBBAAIFCLqDV5d977z2XCZqJFBdccIG9++67Gdv+TDSnzQgggAACmSlAADQznxutRgABBBBAAAEEEEAAAQQQQAABBBBAAIEEBAiAJoDEKQgggAACCCCAAAIIIIAAAggggAACCCCQmQIEQDPzudFqBBBAAAEEEEAAAQQQQAABBBBAAAEEEEhAgABoAkicggACCCCAAAIIIIAAAggggAACCCCAAAKZKUAANDOfG61GAAEEEEAAAQQQQAABBBBAAAEEEEAAgQQECIAmgMQpCCCAAAIIIIAAAggggAACCCCAAAIIIJCZAgRAM/O50WoEEEAAAQQQQAABBBBAAAEEEEAAAQQQSECAAGgCSJyCAAIIIIAAAggggAACCCCAAAIIIIAAApkpQAA0M58brUYAAQQQQAABBBBAAAEEEEAAAQQQQACBBAQIgCaAxCkIIIAAAggggAACCCCAAAIIIIAAAgggkJkCBEAz87nRagQQQAABBBBAAAEEEEAAAQQQQAABBBBIQIAAaAJInIIAAggggAACCCCAAAIIIIAAAggggAACmSlAADQznxutRgABBBBAAAEEEEAAAQQQQAABBBBAAIEEBAiAJoDEKQgggAACCCCAAAIIIIAAAggggAACCCCQmQIEQDPzudFqBBBAAAEEEEAAAQQQQAABBBBAAAEEEEhAgABoAkicggACCCCAAAIIIIAAAggggAACCCCAAAKZKUAANDOfG61GAAEEEEAAAQQQQAABBBBAAAEEEEAAgQQECIAmgMQpCCCAAAIIIIAAAggggAACCCCAAAIIIJCZAgRAM/O50WoEEEAAAQQQQAABBBBAAAEEEEAAAQQQSECAAGgCSJyCAAIIIIAAAggggAACCCCAAAIIIIAAApkpQAA0M59bwq3evHlzwuem+sRt27bZ1q1bU11t3Po2btwYemxXtyO0EexEAAEEEEAAAQQQQAABBBBAAAEEENgtAsV3y125ab4J7Ny501588UWbPXu2ffvtt/bzzz/bPvvsY4cccojVrl3b2rdvbxUrVkzJ/bt06eLqeeCBB6x06dKROj/99FMbM2aMffXVV7ZlyxY78cQT7e67744cT+UbBTd1/48++shWrFhhe+yxh913333WsGFDC2tHixYtbPz48faPf/zDOnfunMqmUBcCCCCAAAIIIIAAAggggAACCCCAQBoKEABNw4eSbJP++OMPu/322+399993VRQtWtT23Xdf034FA/X15ptv2pAhQ+zwww9P9jaR677++mv3fvv27ZF9v/zyi91yyy22fv16K1asmB100EFWvXr1yPFUv3nsscds0qRJrtoKFSpYiRIlrGrVqhavHWvWrDG1WwFhCgIIIIBAwRLYsGGDLV261IoXL241a9a0kiVLFqwO0hsEEEAAAQQQQAABBBBISoAAaFJs6XnRXXfd5YKfNWrUsF69etlRRx3lgpBq7ffff29PPPGEvf3229ajRw8bO3asC06muidffPGFC36WL1/ennnmGdt7771TfYuo+j744AO3fdVVV9nFF19sRYoUcdvTp08Pbcdnn31mF154odWrVy+qHjYQQAABBDJXYP78+e6Pb6+++qppZICKRia0bdvW/vWvf9mBBx6YuZ2j5QgggAACCCCAAAIIIJBnAeYAzTNhelSguT41DFwBwGHDhtmxxx4bCX6qhcrCHDRokB155JHul8N33nknXxr+66+/unobNWqU78FP3cjfr0mTJpHgZ3B/bDu03adPHzvttNNcO/mGAAIIIJDZAi+88IL7f96UKVMiwU/16M8//3R/7NP/9/T/RwoCCCCAAAIIIIAAAggUXgEyQAvIs//mm29s06ZNVrZs2bhzfGpI/FlnnWVz5861jz/+2Dp06JCl9zt27LAffvjBzR+qoe2aN1TD2DWcPbuiXzQ136gPSGouUg1DVEC2xl8ZqbkpGj6v+UvVjipVqrg2aB7TYPnpp59MQV+f6aOh7WpvqVKlTIshxWvH77//bjpXmanx5kLVOcoUlaeyhpQt6jNLg23Q+1WrVrns2uXLlzv7atWquWCzhuLHKzJetGiRG4qvYfuHHXaYKWPWF9UpgzJlylilSpX87qjX1atX27p166xcuXJumoOog2wggAAChURg3rx5Lvtf803HK/o3/5xzzrEvv/wy7r+p8a5lPwIIIIAAAggggAACCBQMAQKgBeM52sEHH+yClAqKvfvuu3bKKaeE9kyLADVr1ix0XjQFLJUlunjx4qhrNY/arbfearVq1YraH9zQL6HXX399ZJeGoOtLixK99dZbkf3ZvVEAc9y4cfbUU0+5YKY/V4Hbyy67zDp27OjmddN+tVOLLPnSs2dP9/bMM880DYH0JbYd//3vf+3BBx80nde/f39/mntV0FVzqMb2v06dOu7cYP81x6gWdpo1a1ZUHdpQ0FZ1K+sotowcOdK1T/PU+SKjdu3a2ZVXXukCrXPmzHHztCrw/Oyzz/rTol5vvvlm1/97773XjjvuuKhjbCCAAAKFRWDAgAFusb2c+qs/immaGP2bSUEAAQQQQAABBBBAAIHCJ0AAtIA887322suOP/54mzlzpgsOarifgqAKwgUXgdDCEPqKLQsWLHBzgyqL5uSTT3ZfynpUpqiChl27drVHHnnEDj300NhL3bayPDXv6CeffOLa0KBBA3f/nDJHg5UpyKrgrbIatVq96lQW6MSJE11QVAFaBShVLrroIpfJ+dBDD7lgqVak13xvWgBJgcrctmPlypXWr18/U2al3LRKvLJa1XcFWnXsySefNGVsKjuzU6dO7lW+CkDqvlpkSnOSKjtVC0FpWOaee+4Z6aIWbJowYYLL2NScpcounT17tk2bNs0FfpU1qpXpFaAePny4LVu2zGWJxpprv9qkDNZjjjkmUn/wzZIlS+z1118P7uI9AgjsIgH9EUdZ4ZT8FVCW/tSpUxO+iebBDmbbJ3whJ+ZaoGHDhta6detcX8cFCCCAAAIIIIAAAgjkl0DWSFh+3Yl6811AWZH6eu+991yWoTIhFVTTiu+a+1IB0rDFfzRcfcSIES6L5vLLL3dBON9YZYxqxXQFGnWOgqBhpXLlym6xia1bt7oAqDJStfhEokUBWwU/9cvpmDFjon5JPeOMM0wBTs1bqoxLBRybN2/uqh41apQLgOoXreAvtrlth7JXFfxUAFIGvmjYpDJPtYjUSy+95I7pF24FQdVHmfgg76mnnuqCsuedd55pGL2Cx02bNnVVzZgxwwU51cbRo0e7QKoO6Lh+URw8eLA999xzLvCrYfyqS/dREDM2AOoDm61atTJlx4YVZbOqbWHFtzfsGPsQQCDvAo8++qj77z/vNVFDKgU0QkJ/nKLkv4BGbRAAzX9n7oAAAggggAACCCCQuEB49CTx6zkzjQSUbagMSQ0J1ArwyvRUIFBzfiqo2K1bt0gwL9hszXfpMwr1S0tsURBQw7S1wrvmUMuPohXjVRR8DAYytU/zf7Zs2VJvbfz48e41ld80d+l3333nMjMvueSSqKoVLOzdu7ebO1Xze6oow1TD1W+44YZI8NNfpLbXr1/fbSpI6otfgEMr1SuLNFgUZFbQVKvT+6HxGqKvoukDNDWALwpW+wCoP8cf4xUBBBBAAAEEEEAAAQQQQAABBBBAIKsAGaBZTTJ6jzICTz/9dPelxYAU/NTQbA211tyWGhqt4J2Gm5900kmurwr+qRxwwAGmuTzDiuYB/frrr10mpDJKc1M0rP63334LvUSL/KjNvg16r4BsbPFBQ2ViprpoQSIVLUYUHLLu73Pssce6FYb9toadB4eeK0C5YsUKN2RdAWINgVcJBi79PcLmBdVUA3379vXVu1dlhWqIvKYA0JygjRs3dvv1PBWwVSav5giNVzQFwdChQ+MddsHbuAc5gAACeRL45z//6RZIy1MlXJyjgBbC03QifjG8nC7Yf//9bdiwYTmdxvEUCGiEBAUBBBBAAAEEEEAAgXQSIACj/5xsAABAAElEQVSaTk8jxW3RUOoTTjjBfalqzfOpRSAUBFVwTPNcKvimIJvK/Pnz3TyebiPOt2TmtVPmqLIow8rLL7/ssig1ZFwlu6CdjmvxIQVUlZGaquKDk/rlONGiOUM1n6fmGtWcnMFfwGOHmOuY5i9V2W+//RK9hWnov+YNfeONNyIBUM1JqqJj2RUFs88999zQUxSYVfYqBQEE8kdAf4Si7BoBLXSn6UMSKd27d7dLL700kVM5BwEEEEAAAQQQQAABBAqYAAHQAvJAp0yZYgrKaVi0H6od2zVlOGouTw1pV0amMjrr1q0bOU3zhCooml3Riui5LcrqDMusVD0KwAaLsnnCFmkKnpPq9zt27HBVBoOY2d1Dblp1Xhm2aqvm6JSj5krV1ANa6V2LUQWLv0cwKzR4POy9giiPP/64m9NV95Lj22+/7YK/fg7UsOvYhwACCBQWAU37ovmS/R/R4vVbGYnXXnttvMPsRwABBBBAAAEEEEAAgQIuQAC0gDxgLdDzzTffuICihrjHK2XKlHGL9yiIp2HbCtxpqLWKVlFv165dvEuT3q9h32+++Wa212ueT/0Cq+HmyQRZs608h4NawV1F2aVhRcMslYWp8xTgvOOOO1zwU3N33nTTTVmCu3JV8UFPBUm1SJSGxuseWr09tmho+9q1a93Qdp8lqukBtOCTFlPSlwKgWpleCyTtvffesVWwjQACCBQ6AU3P8sorr7iM9zVr1oT2X8HP1157jX83Q3XYiQACCCCAAAIIIIBA4RBgEaQC8pwVmFNRoG7VqlVxe6XMTw351jBtP4+lfoFU+fzzz10QLvbiTZs2WdeuXd0iSppPND+Kb4NWeg8rGiqvBYqU7ZPq4u+tofrBhYv8feSiofkPP/ywaRVhTSGgcsUVV2QJfipT008pEMz2rFGjhrvmww8/dK+x37Rq9MCBA02rtweLX+jo3XffjWSV5jT8PXg97xFAAIGCLqD5rDX/sjLzg1OZKPB52223ubmwd/Uf1gq6Of1DAAEEEEAAAQQQQCDTBAiAZtoTi9Peiy66yMqWLeuGwSsw98EHH5gyF4NFvyBqDjRlJipg6rMINfRdWZpagfyee+7Jcp2Cc5o/VPNYarh3fhSt/q7y/PPPu19Wg/fQ0H4NK9dcm5rbMtVFfVKm5R9//GHqq8/c1H0U0NQwdBUNO9dQfj/HZ2wwWN7KCN26das7X3OV+tKhQwf3duLEiZH5QP0xzWGnZ6Pn54PS/ph+sddzUuBUz1SLQSlLloIAAggg8LeAsuwfeOAB9/9A/aFK2fJa+E8LUvn/1/19Nu8QQAABBBBAAAEEEECgsAkwBL6APHENl1ag7sYbb3QrqutVQ6arV6/uhrZrlXUF+FQUZBs0aFBUz6+77jrr0aOHKdOwU6dObi5QDd3WXJa6VnN1Kri31157RV2Xqg0FYbVoj4by9+rVy5o1a+bm1NSwfq1gr0CkVj6/+OKLU3XLqHqUOaTgsOZSVYasAqIKvMpD99aq7G3btnVzfmoI+rRp09x8qhq6rmP6RVvt1BB3BVQ1xcCvv/4auUf9+vUj/dMUBRo+r6Huql/XylcZoLGLO2lb506aNMnVpf77AGykct4ggAACCEQECHhGKHiDAAIIIIAAAggggAAC/xMgAFqAfhSqVKlio0aNskceecSt6K6MSb/6uIKhGg6oRY6UbRm70JCGgY8bN86GDx/ugp7jx4+PyNSuXdsNgT/++OMj+/LjTb9+/eyII45w7Z8xY4bpS0VBwDZt2rh2a2X7/Cgaov7000+7oe6zZs1yGa+6j4KNureyar1Z3759rUSJEm5OOQVC9aXzjj76aJdBq2kGrrnmGrd4kQKrfqEn9U8LUSnLVIt2+KJ79+7dO0v2pz9+1llnRQKgDH/3KrwigAACCCCAAAIIIIAAAggggAACiQkU2flXSexUzso0Aa1q/uOPP7rMT61QXrJkyYS64K/TkHgNOdew611dtCCSArjK5FEb4q0inx/t0tB1Zb0qaKwFouLdW/OFLl++3AU/lWkbm72ZXds0T6sWRVLflL2bXVGGqLJylQGrAHdei+YmVV3KAm7fvn1eq+N6BBBAAAEEEEAAgTQUUCKE/lAfWzTSirmRY1XYRgABBBBIZwFNOajRt0OGDHFJasm0lQzQZNQy5BplLCq7MLcl2etye5/szteq8A0aNMjulHw7pkBmIh8KFZytW7duUu3QSvBhq8GHVaYVjlXOPvvssMPsQwABBBBAAAEEEEAAAQQQQAABBBDIRoAAaDY4HEJgdwkoc1fD7OfMmePmRVVA+LTTTttdzeG+CCCAAAIIIIAAAggggAACCCCAQMYKEADN2EdHwwuywMMPP+zmEFUfNYdo//794w7FL8gO9A0BBBBAAAEEEEAAAQQQQAABBBDIqwAB0LwKcj0C+SBw1FFHudXoq1at6oa+a/EqCgIIIIAAAggggAACCCCAAAIIIIBA7gUIgObejCsQyHcBrTyvLwoCCCCAAAIIIIAAAggggAACCCCAQN4Eiubtcq5GAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTSV4AAaPo+G1qGAAIIIIDAbhP44osv3CJsc+fOte3bt6ekHV999ZU999xzCdW1bNkye/nll+3999+3tWvXJnRNvJP+9a9/2fjx40MPp7Kfua1r69attmDBApsyZYpNnz7dli9fHtrGt956y66//nrbsmVL6HF2IoAAAggggAACCCCAQPYCBECz9+EoAggggAAChUpAAbkTTjjBGjRoYOedd541atTI9t13X3vooYfy5KDgXvPmza1Tp07Z1vPRRx9ZzZo1rXr16nbOOedYkyZNrFq1anbHHXdke128g2PHjrVBgwZZ/fr1o05JZT+TqWvChAlWu3Ztq1evnp177rnORv08++yzbcmSJVFtPeKII+zxxx+322+/PWo/GwgggAACCCCAAAIIIJCYAHOAJubEWQgggAACCBR4gZUrV9ppp51mP/74o5uHuHXr1vbdd9/ZyJEjrUePHvbnn3+6TMTcQvzxxx8umKr6S5QoEffyyZMnW7t27axo0aLWsWNH15bFixfbPffcYwMGDLA999zT+vbtG/f62AM///yzXXvttXbFFVfY4YcfHjmcyn4mU9cLL7zg+lm8eHHnqoDzunXr7Omnn7apU6easm7nzZtn5cuXd22uWLGi9e/f3wYOHOieS8OGDSN94Q0CCCCAAAIIIIAAAgjkLFBk518l59M4AwEECoqAhrIq40gZUe3bty8o3aIfCCCQAoGePXvagw8+aF27drVRo0ZFaly4cKE1btzYNGRbmZzKCE20aPj2lVdeaUuXLnWXKAAaNpR7x44dVrduXVu0aJE99thj7hp/j2nTprlgaJkyZWz16tW2xx57+EPZvirwqaCigqgHHXRQ5NxU9jO3dW3bts32339/W7NmjRv6riCzL/pIpmxQDf1XwFmBZ18URFZWrDJzZ8yY4XfzigACCMQV0L+7+vcztjRr1szq1KkTu5ttBBBAAAEE0lZg8+bNpiSAIUOGJL1gNEPg0/bx0jAEEEAAAQR2nYA+VDz55JPuhsqaDBYFJtu0aWMbN260MWPGBA/Ffa9gXpcuXaxFixYu+Hn55ZfHPVcHlBWp4OdFF10UFfzUsZYtW9qZZ57phuMrmJlIWbFihT3zzDNuaHkw+JnKfiZT15w5c1zwU1MLBIOf6lORIkUiGbYzZ86M6uZee+3lbN5++22bPXt21DE2EEAAAQQQQAABBBBAIHsBAqDZ+3AUAQQQQACBQiHw2WefuQCn5ptUwDO2tG3b1u2aNGlS7KHQbWU6KqCqeS0nTpxojz76aOh5fqcPrCrzMaxoaPi7775rhx12WNjhLPuUPalMU99uf0Iq+5lMXRUqVLB777037lB+BTpVNCQ+tigIrTJs2LDYQ2wjgAACCCCAAAIIIIBANgLMAZoNDocQQAABBBAoLAKff/6562qNGjVCu+z3ayX3RIrm8XzkkUdMmZ8asq7h89kVzTVarFgxN9R+06ZNpsWQtAJ82bJl7R//+IcdffTR2V2e5di4ceNMc2xqIadgSWU/k6lLCx9dd911wSZFvX/11Vfd9jHHHBO1Xxsnn3yyVapUyRSE1pB4HyzNciI7EEAAAQQQQAABBBBAIEqAAGgUBxsIIIAAAggUToHffvvNdVwL7oQVvyCP5q7UfJ0KcGZXFMy86qqrsjsl6pjmFi1XrpxpUSENef/mm2+ijmte0hEjRlipUqWi9odtaCi9FnI69NBDTRmXwZLKfqayLrVR8/UNHTrUDYXXvKmxRaYKjL722mv23nvv2emnnx57CtsIIIAAAggggAACCCAQIpD9by8hF7ALAQQQQAABBAqewO+//+46FRsw9D0NLnyk1eBTWdavX++GfCuwqmxPFQ2J13yXw4cPd4suaWGk66+/PqHbKjiocuCBB2Y5P5X9TGVdv/76q7Vq1cpk0a1bNzd3aZbGB/rk+xh2DvsQQAABBBBAAAEEEEAgWoAM0GgPthBAAAEEECiUAnvuuWe2/daiRr7klP3pz0v0de3ate5UZVQqAPvpp59Ghndr2Pdpp53mFkDSkHoFB7USenZF2aQqYQHQVPYzVXV9//33dsYZZ7hFoE455RQ3R2i8/vkFnXwf453HfgQQQAABBBBAAAEEEPhbgAzQvy14hwACCCCAQIEVUDZllSpVsnwdf/zxrs86pqIh7mHF79e8mqVLlw47Jel9+++/vxv2rQoGDBgQCX76Cg8//HC3Cr0yRDUvaE5F2ZQqYQHQVPYzFXUp2KtnsGDBAhcEfeWVV7L19X3yfczJguMIIIAAAggggAACCCBgRgYoPwUIIIAAAggUAoHNmzfbihUrsvS0ZMmSbl+iwbx4Q+SzVJyLHVokSYv7/PLLL6ZgZ1jx+7/++uuww1H7FChVCQvUprKfea1LCx61a9fONmzYYFdccYU9+uijbuGmqM7EbPg++T7GHGYTAQQQQAABBBBAAAEEQgQIgIagsAsBBBBAAIGCJtCsWTP74YcfsnRLGZ0qVatWda/ffvute439tnjxYrerUaNGsYdSsq37KwCq4eDHHntsljoVJFQ5+OCDsxyL3VG5cmW3a/Xq1bGHUtrPvJg9++yz1rFjR7eg1JAhQ+zmm2/O0tawHatWrXK7DzjggLDD7EMAAQQQQAABBBBAAIEQAYbAh6CwCwEEEEAAgYImoPkqq1WrluXLBwsbNmxoNWrUsHnz5tnChQuzdH/8+PFuX5MmTbIcS8WOs88+21Wjofph5aOPPnK7TzrppLDDUft8cDBsmHgq+5lsXW+88YYLfhYpUsTGjRuXcPBTnfQBUP/cojrOBgIIIIAAAggggAACCIQKEAANZWEnAggggAAChUugWLFi1qdPH9fp2267zbZv3x4BmD17tk2aNMk0XL5Lly6R/Xozffp0e/31123lypVR+3O7oXuXKVPGDQPX0PBg+c9//mMKjCqAe8QRRwQPhb4/8sgj3f65c+dmOZ5sP5ctW+b6GZyDNJm6Nm3aZFdddZXzvf/+++2SSy7J0sbsdvg+5Vcmbnb35hgCCCCAAAIIIIAAApkqwBD4TH1ytBsBBBBAAIEUC2geygceeMAmTJhgP/30k5133nn2448/2ujRo+3PP/+0ESNG2H777Rd11zZt2phWb3/++eetffv2Ucdys1G+fHm7++67rWfPnm7Bo3POOcdOPPFEU8Bv7NixVq5cOXvttddMQcecylFHHeUWe5o/f76tX7/e9t5776hLkunn5MmTrXfv3nbooYdGZcjmtq7hw4fb0qVLXXtuvfVW01dY0VyfCrrGlpkzZ5rmTG3VqlXsIbYRQAABBBBAAAEEEEAgjgAB0Dgw7EYAAQQQQKCwCSgDU9menTp1MmVh+mzHihUr2sMPP2xXX311vpJ0797dBRh1Hw2515eCfU2bNrXbb7/d6tevn9D9NbS8devWNmrUKHvnnXfMD6/3F6eyn7mtS5msvoTNUeqPbdy40b+NvGqleGXatmzZ0sqWLRvZzxsEEEAAAQQQQAABBBDIXoAAaPY+HEUAAQQQQKBQCSgTc8qUKS7jUxmUCvDVqlXLNIdoWFmzZk3Y7iz7SpQoYTt37syyP3ZH8+bN7ZtvvjEFBxctWmSaZ9OvfB57bnbb1157rctcfeqpp7IEQHVdbvvZq1cv01dYyU1dmv8z2aK+qNx4443ulW8IIIAAAggggAACCCCQmAAB0MScOAsBBBBAAIFCJaCgY+PGjXdbnytUqGD6SrZoqPo111xjDz30kGkxpEqVKoVWlcp+prKu2MZu27bNTQWgqQEUJKYggAACCCCAAAIIIIBA4gIsgpS4FWcigAACCCCAQAYJaDEnDRUfOXJkBrU6vKnPPPOMm2t12LBh4SewFwEEEEAAAQQQQAABBOIKEACNS8MBBBBAAAEEEMhkAS2cNHjwYNPCQytWrMjYrmjleC2WpAWiateunbH9oOEIIIAAAggggAACCOwuAQKgu0ue+yKAAAIIIIBAvgt069bNTj31VJs4cWK+3yu/bqAFqWrUqGEDBw7Mr1tQLwIIIIAAAggggAACBVqAOUAL9OOlcwgggAACCBRugWLFirlFnTJZ4YILLjB9URBAAAEEEEAAAQQQQCA5ATJAk3PjKgQQQAABBBBAAAEEEEAAAQQQQAABBBDIAAECoBnwkGgiAggggAACCCCAAAIIIIAAAggggAACCCQnQAA0OTeuQgABBBBAAAEEEEAAAQQQQAABBBBAAIEMECAAmgEPiSYigAACCCCAAAIIIIAAAggggAACCCCAQHICBECTc+MqBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgAAQKgGfCQaCICCCCAAAIIIIAAAggggAACCCCAAAIIJCdAADQ5N65CAAEEEEAAAQQQQAABBBBAAAEEEEAAgQwQIACaAQ+JJiKAAAIIIIAAAggggAACCCCAAAIIIIBAcgIEQJNz4yoEEEAAAQQQQAABBBBAAAEEEEAAAQQQyAABAqAZ8JBoIgIIIIAAAggggAACCCCAAAIIIIAAAggkJ0AANDk3rkIAAQQQQAABBBBAAAEEEEAAAQQQQACBDBAgAJoBD4kmIoAAAggggAACCCCAAAIIIIAAAggggEByAgRAk3PjKgQQQAABBBBAAAEEEEAAAQQQQAABBBDIAAECoBnwkGgiAggggAACCCCAAAIIIIAAAggggAACCCQnQAA0OTeuQgABBBBAAAEEEEAAAQQQQAABBBBAAIEMECAAmgEPiSYigAACCCCAAAIIIIAAAggggAACCCCAQHICBECTc+MqBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgAAQKgGfCQaCICCCCAAAIIIIAAAggggAACCCCAAAIIJCdAADQ5N65CAAEEEEAAAQQQQAABBBBAAAEEEEAAgQwQIACaAQ+JJiKAAAIIIIAAAggggAACCCCAAAIIIIBAcgLFk7uscFz1xhtv2IQJE3LV2UqVKtmdd97prrnmmmts8+bNds8999i+++6bq3rS4eTt27fbzz//bFWqVEmH5qRdG3r27GkbN260u+++2ypUqLDL2telSxd3rwceeMBKly69y+7LjRBAAAEEEEAAAQQQQAABBBBAAIFMFCAAms1TW7NmjX399dfZnJH10Pr16yM7Fy1a5AJk27Zti+zLlDcLFy60u+66y5o3b24dOnTIlGbv0nZ+88039ueff9qufr7+Z1IBagoCCCCAAAIIIIAAAggggAACCCCAQPYCBECz8WnVqpUdc8wxWc7o1auXKdCp10aNGkUdL1GiRNR2pm689tprtnjxYhcAzdQ+5He7zz33XNuyZQtZmPkNTf0IIIAAAggggAACCCCAAAIpF/j999/tlVdesS+++MIl9tSpU8fOOecc23///VN+LypEYHcLEADN5glo2HrY0PVixYq5qw444ACrVatWNjVwqCALdO/evSB3j74hgAACCCCAAAIIIIAAAggUUIFHH33UbrrpJlMQNFh69OhhN9xwgw0aNMiKFmXZmKAN7zNbgADoLnp+Gq68dOlS07DpihUr2uGHH2577bVXlrvrHAVYDzroIFuxYoV9/vnn1rBhwyzzcCoD9dtvv7UffvjBHatdu7bts88+WeoL7tB8pDpfXxs2bLCqVau6+6g9vqidy5Yts3Xr1rldmgZAbVLd5cuX96dl+5rIfXwF3333nftHVf3dunWrm3JgyZIlbk7No446ykqVKuVPjbwmc02irrlp+/fff287duywAw880IoX//s/pZ07d9pXX33lnNXoGjVqWPXq1UP74juVm/v6a3hFAAEEEEAAAQQQQAABBBBAILcCt912mw0ePDj0Mo1yvP32292I0Oeeey70HHYikIkCf0dtMrH1GdLm5cuX24033miaE9SXIkWKWOfOnd2X36fXyy+/3AUae/fubQMHDnQBNu3Xgkrt27c3BSjHjRtnTz31lHuvYyr6y8xll11mHTt2jArG/f+j5tLaR44c6eas9Pv0qnacf/75pmzGPffc0wU+VY8vEydONH21a9fO9JegnIrS5xO5j6+na9eurr1a0Kdv376mgKsve++9t91888120kkn+V3uNZlrcnJVxcm0XXOAyscPEVBQWv8zURA5WBTI7dOnj5155pnB3e59bu+bpQJ2IIAAAggggAACCCCAAAIIIJCAwPvvvx83+Bm8/Pnnn7eWLVtmiVkEz+E9ApkkQAB0FzwtBfbKlStnbdu2NQ2bnzFjhs2fP99Gjx7tgp2aSzJY/Mrie+yxhymzU4veHH/88e6UW2+91d59911XnwKiyi5URqeCcAqKKtNRf60JljFjxrh7KYtT83koo3Tt2rX2wQcfuAzTF1980SpXrmz/93//5+az1Nymb7/9ts2bN89OOOEEO/bYY01zgeRUcnOfYF2bNm0yraiu6QYUiFUw8cMPPzT9g6u/Sj322GOun3m9JjvXZNsebJOCof369bPVq1c758aNG7s5QmfNmmXTpk2zO++80xTUbdKkSeSyVNw3UhlvEEAAAQQQQAABBBBAAAEEEMhGYOjQodkcjT509913EwCNJmErgwUIgO6Ch6fg56hRo9zQd91OgVAF9ZTJ+eqrr1psAFTD2xWQHD9+vJUpU8Y0PFrZmR999JELfmoougJnwSHpZ5xxhnXp0sXeeecdU8DtuOOOcz3TtQpwqigQe8opp7j3+qaszuHDh9ukSZPs9ddfdwFQ3Uft+/HHH10AtEGDBm47clGcN7m9T7AaDX2vVKmSM1KAUOXII490weJ7773XZYHKys+9quPJXBPPNS9tV1t8mTt3rgt+qu3XX3+9320tWrSwsmXLuuep5+0DoKm6b+RGgTfZ/VUv6Bi4hLcIIIAAAggggAACCCCAQMoFHn74YRsxYkTK66XC5AQ0ajHRomSsmjVrWkFZ7DnRfqfreYod3XPPPenavLRvFwHQXfCIOnXqFAl++tudfPLJLgC6cuVKvyvq9dJLL3XBT+1UUFLlmWeeca9+OLfb+N83ZXcqPV2BQgVOfQBU2ZU6X3N+BoOf/tqmTZu6AKiCg3kpeb2Phu774KdvR+vWrU1zjijDVUPK9Q9vsCRzTZhrXtvu26TpCVSUXauJpINzsuoZqD/KAPYlVff19QVflY2qOUrDCgHQMBX2IYAAAggggAACCCCAQH4IaIRccDq4/LgHdeafwHd/rdtBSQ+BePGj9Ghd+reCAOgueEZaACe2+OxNBarCihYFii3+Hx7N9/nZZ5/FHnYLB2lnMPClIJzm+AwWBTsVUNRiQxoGr+KDd8HzcvM+r/fRcPHYokCdFovSYlBaPCo2AJrMNWGueW27b7cWbdLCVnpOmk5A0weojQpGKws49ucgVff19w++am7XeCW7Y/GuYT8CCCCAAAIIIIAAAgggkIyAfv/gd5Bk5FJ/jRbsTabw/JJRS/01PIe8mRIAzZtfQlf7BXKCJ/sf3Hj/AFWpUiV4uiloqaxClZzm7Pjll1/c3JOaQ1RFwU0NjddiO4sXL45aaCiV2YDJ3kft9AFh1+DAt/32289tKU2/VatWkSPJXKOLY119hcm23V+vVwU/Nbyjf//+9tNPP9kbb7zhvvSs69ev7wLRytINllTcN1iff6/7aLhCWNE969WrF3aIfQgggAACCCCAAAIIIIBASgVuueUW0xclPQROPfVUty5JIq2pWrWqmx4vkXM5B4F0FyAAuguekDI2c1t88DLsuquuuip0pfewcxVg1aJIb775pjusuTY1FP6QQw6xunXruqDd1VdfHXZprvbl5T7xgsBqgIaJq2gOzWBJ5hpdH+aal7YH26T3Bx98sBu2/8knn7iFnD7++GM3hF+LXunriy++sGuvvdZdlsr7xraDbQQQQAABBBBAAAEEEEAAAQRiBXr37p1wAFTnUhAoKAIEQDPkSWp+TA2ZVhZooquyq2taMV7BT2Un3nXXXW5xoWCXlRmqsmPHjuDuXL/Py320oNFvv/0WmgX6888/u7YceuihUW1K5pqoCgIbeWl7oJrIW2XVati7n4dV2aCay/Sll15y86127tzZDYlP9X0jDeANAggggAACCCCAAAIIIIAAAiECWkhH62mMHTs25Ojfu7ReSJ8+ff7ewTsEMlwg96mJGd7hTG6+nwPTBy1j+/Lyyy/bJZdc4jI+/TGtTK5y4oknZgl+ar/m1lTRsOhg8VmriQZGk72Pv6efi9Rv63XdunX26aeful116tQJHnLvk7kmSyV/7chr232dWqSqQ4cObiEqv0+vGnav/3EogK2sz6VLl7rDqbpv8F68RwABBBBAAAEEEEAAAQQQQCA7gSeffNL69u1r/vf+2HPbt29vU6dOZfX3WBi2M1qAAGgGPT6tJK7y/PPPR4J2vvlaDWzkyJFucaPgSuOlS5d2p3z++ee2bds2f7p7/fDDD+3ZZ59177ds2RJ1zK88n+gqY8nex990zJgx5rM9tU9tVX82btzohuxrEaHYksw1sXVoO69t93VqmL4WQFK2p4K3wbJw4UKXvStXP/9mqu4bvA/vEUAAAQQQQAABBBBAAAEEEMhOQKMWhw0bZgsWLLB//vOf1qZNGzvvvPPshhtusNmzZ7uYQ5kyZbKrgmMIZJwAQ+Az6JE1atTIlK6uodS9evWyZs2aubk8lcWpf6QULFRw7eKLL470qnnz5u4fLy2M1K1bN2vSpIn7K46yDzVPZe3atd3CSJprc8OGDeb/kfOLBemvPvpH8aSTTrIuXbpE6o19k+x9fD0a2n/FFVdYixYt3Hyfyu7UIj6HHXaYDRgwwJ8W9ZrMNVEV/G8jr233dZ522mk2efJkW7RokV1wwQV2zDHHmIbua95Pn+2pZ+ODy6m6r78/rwgggAACCCCAAAIIIIAAAggkKqCRlrfddluip3MeAhktQAZohj2+fv362a233moVK1Z0Exc/8cQTbp5PDWHXX230V5xSpUpFeqVFebQIkrJCFShVqvujjz5qykjs3r27jRo1yho2bOjO15yUvpx55pku81J/GdLK8X4ouj8e+5rsfXw9arfa+MILL5jP7DzjjDPszjvvjAQM/bn+NZlr/LXB17y23ddVsmRJGzp0qKndymCdOXOmjR492mbNmuXmN1Ug12fx6ppU3dffn1cEEEAAAQQQQAABBBBAAAEEEEAAgawCRf6ak3Bn1t3syQQBZUAuW7bMtECSgoc+szCs7QqQaoj5qlWr3JyUCqAmUrTY0OrVq61ChQoJzf+R2/soa1KZqy+++KJphXothvTrr79arVq14s5Hksw1ifQ1t23Prk71SdMHrF+/3jR3q55RvJLK+8a7R3C/7qdM4UGDBpnmdqEggAACCCCAAAIIFDwBzTs/bdq0LB3TKLKw+fWznMgOBBBAAAEE0kRg8+bNLnlvyJAhLvkvmWYxBD4ZtTS5RovqNGjQIKHWKJNTw9r90PaELvrrpBIlSljlypUTPd2SvY+/wb777mv6yk1J5pqw+vPa9mCdysL1i1YF94e9T+V9w+pnHwIIIIAAAggggAACCCCAAAIIIFCYBRgCX5ifPn1HAAEEEEAAAQQQQAABBBBAAAEEEECggAsQAC3gD5juIYAAAggggAACCCCAAAIIIIAAAgggUJgFGAJfmJ9+GvS9adOmtmXLlmznL41tZjLXxNbBNgIIIIAAAggggAACCCCAAAIIIIBA4RAgAFo4nnPa9vKWW27JdduSueb/sXcn8FZP+//HPw2SJNGgiZJKmlDILEKoZIi6xpAoJWQK5R8yJBGKTEm51I3ciChlKEOFJMpVSjRQidI8/b3X7659v3ufvc/Z0+nsfc5rPR7n7O+4vms9v0fqcz5rrYQfwg0IIIAAAggggAACCCCAAAIIIIAAAoVCgCHwheI10gkEEEAAAQQQQAABBBBAAAEEEEAAAQQQiCZAADSaCscQQAABBBBAAAEEEEAAAQQQQAABBBBAoFAIEAAtFK+RTiCAAAIIIIAAAggggAACCCCAwK4UWLNmjX344Yf29ttv26pVq9Ly6J07d9qYMWNs7ty5uda3efNm+/LLL+2NN96wBQsW5HptPCdnzpxpPXv2tD///DPH5ensZ6J1xdvP7du322233WYTJ07M0X4OICABAqD8HCCAAAIIIIAAAggggAACCCCAAAIJCPTv39/2339/a9GihbVu3doqVapkxxxzjK1YsSKBWnJeevfdd1uHDh1s/PjxOU/+98jYsWOtbt261qxZMzv33HPddpUqVeyf//xnzHtyO6Eg42WXXWa//fab7b333mGXprOfidaVSD9LlChhu+22m11yySW2cuXKsD6wg4AECIDyc4AAAggggAACCCCAAAIIIIAAAgjEKaBAnhbn3WuvvezBBx+04cOHW9u2be2zzz6z448/Pukg6OjRo+3ee+/NtRXKNlWAdPny5damTRt74YUXrFOnTrZ+/XoX/Bs6dGiu90c7ec8999iPP/7o+hI8n85+JlpXMv28/fbbrXjx4tajR49gN9hGwAkQAOUHAQEEEEAAAQQQQAABBBBAAAEEEIhDYNmyZaaA4R577GHTp093w64VgFTGZpcuXWzhwoU2ePDgOGr63yXr1q2zbt262T/+8Y//HYyypeHxXbt2tR07dtjDDz9sb775pl1xxRUuAPvaa6+Zzvft29edj3J71EOLFi2yAQMGuCBqzZo1Q9eks5+J1pVsP8uWLWu9evUyBZI1NQEFgaAAAdCgBtsIIIAAAggggAACCCCAAAIIIIBADIHnn3/etmzZYu3atbPatWuHXXXnnXdasWLFTNdoWHk85ZNPPrGGDRvaU089ZdWrV7fTTz895m3ffPONKZhYvnx569y5c9h1p512mh144IG2evVqmzVrVti53HYeffRR27ZtmwukBq9LZz8TrSuVfmoov7JAFdSlIBAUIAAa1GAbAQQQQAABBBBAAAEEEEAAAQQQiCGgrE8VDUOPLAcccIAdddRRbg7KadOmRZ6Ouj9hwgT75ZdfXPbn119/bUcccUTU63SwSZMm9tdff9mcOXNM2Y7BosCrMidV9t133+CpmNu///67G0KvuUybN28edl06+5loXan0s2rVqnbcccfZO++8Y999911Yn9gp2gIEQIv2+6f3CCCAAAIIIIAAAggggAACCCAQp4CClCq1atVyn5Hf/PF4g28nnniiKeNRCxjFE7jcfffd3eJLkc8dMmSILV682Bo1amR16tSJPB11f9y4cW7u0Pbt27vM1eBF6exnMnWl0s8LLrjABYNffvnlYJfYLuICBECL+A8A3UcAAQQQQAABBBBAAAEEEEAAgfgE1qxZ4y6sWLFi1Bt8EDPelchbtWrlhsBHrSyPgwosXn311VajRg3r3r27yx6dOHFiHnf97/SUKVPcjrJWI0s6+5lqXYn202ezvv/++5HdYr8IC5Qswn2n6wgggAACCCCAAAIIIIAAAggggEBcAprX08/tWaFChaj3+ADohg0bop5P58E33njDnnvuuVCVzZo1s3LlyoX289r4+OOP3SUaAh8s6exnOupKtJ++P5oLddOmTVa6dOlg99guogJkgBbRF0+3EUAAAQQQQAABBBBAAAEEEEAgfoGSJUtaiRIlcr1BK7SraCGe/C6XXHKJ/fTTTzZ79mzr2bOnPfvss1a/fn379NNP83y05gtdvny5u84HDP1N6exnOupKtJ9VqlSx3XbbzbZv324rVqzw3eKziAvk/3+RRRyY7iOAAAIIIIAAAggggAACCCCAQPYLKPhZuXJl1xEtIBSt+ON77713tNNpPXbQQQeZFl469NBD7bHHHrObb77ZrRKvYGheRcPStfq7+lStWrWwy9PZz3TUlWg/tSCUpgVQiXcqgjAAdgqlAAHQQvla6RQCCCCAAAIIIIAAAggggAACCKRbwAcLfaAzsn5/3A+Fjzyfn/tdu3Z11Wvo98aNG3N9lM9UVaaksjQjSzr7mc661M54+lmmTBnXJd/PyP6xX/QECIAWvXdOjxFAAAEEEEAAAQQQQAABBBBAIAmB6tWru7sWLFgQ9e6FCxe6402bNo16PpWD3377rcv0nDBhQtRqfNBVw9u3bNkS9Rp/UHOYKvipOTKjzVeazn4mWlc6+rlq1SrX1apVq/ou81nEBQiAFvEfALqPAAIIIIAAAggggAACCCCAAALxCZx99tnuwtGjR+e44YcffrAvv/zSypYta4cddliO86kemD9/vt1444129913R63qs88+c8dr165teQ3B1zDx/fbbz10fbZh4OvuZaF2p9lMB4NWrV7u+aT5QCgISIADKzwECCCCAAAIIIIAAAggggAACCCAQh4AW5FHgcPz48TZjxozQHVpwp2/fvm6/S5cutvvuu4fOLVmyxN59912bNm1a6FgyGy1btnSBzS+++MJeeumlsCoU8LvhhhvcsSuuuCLsXKwdH6TVIkqRJZ39TLSuVPupDFLNb9qgQQMrVapUZNfYL6ICBECL6Iun2wgggAACCCCAAAIIIIAAAgggkJiAApsKdGqOzVNPPdUFHQcNGmQnn3yyvfrqq1anTh3r3bt3WKVvvPGGnXHGGda5c+ew44nulC9f3oYPH+5uu/zyy+3II4+0gQMHuuc1bNjQ5s2bZyeeeGKO58d6Ttu2bd2p6dOn57gknf1MtK5U++kDzT7zNEfnOFAkBXLOdFskGeg0AggggAACCCCAAAIIIIAAAgggkLdAt27drGLFita9e3cbPHhw6IazzjrLhgwZ4s6FDqZ549xzz7VJkyZZjx49TIsd6UtFw+7vu+8+u/XWW93K7vE8tk2bNqah8FOmTIl6eTr7mWhdqfRz6tSprj8+wBu1cxwscgLF/p4bYWeR6zUdRqAIC2hohoYC9OvXzzp27FiEJeg6AggggAACCCBQeAUWLVrkgiSRPWzRooXVq1cv8jD7CCCQpMDixYtt6dKlLvPTz6mZZFUJ37Zs2TLTYkxaZV3zfhYvnvgg38suu8xGjhxp33zzjTVq1ChmG9LZz0TrSqSfa9ascR7Kjv3oo49i9ocT2SWwefNma9KkifXv39/at2+fVOPJAE2KjZsQQAABBBBAAAEEEEAAAQQQQKCoC9SqVcv0VRBFgU99pVIefPBBe/311+3555+3Rx99NGZV6exnonUl0s9Ro0aZgmW59SVmJzlRqAUS//VAoeagcwgggAACCCCAAAIIIIAAAggggEDREFBw8fbbb3dzi/7+++9Z3emtW7fa448/bp06dbJmzZpldV9ofPoFCICm35QaEUAAAQQQQAABBBBAAAEEEEAAgawQ6NWrl1tdXsOLs7k888wztmLFCjdMOpv7QdvzR4AAaP64UisCCCCAAAIIIIAAAggggAACCCCQ8QJ77LGHPfbYYzZjxgz7888/M7690RqotS4mTpxoDzzwgFWtWjXaJRwr4gLMAVrEfwDoftEV0GTZ06dPL7oA9BwBBBBAAAEEECjEAsqC0kIjkeWrr76ylStXRh5mHwEEirhA5cqVTfOBzp07N2slNJRfhX/nZu0rjNnwLVu2xDwX7wlWgY9XiusQKCQCfhX4QtIduoEAAggggAACCCCAAAIIIIAAAkVAIJVV4AmAFoEfELqIQKRAtGyAyGvYRwABBBBAAAEEEMhegZ07d5q+IkuxYsVMXxQEEEAAAQSyTaBixYpWtmzZpJpNADQpNm5CAAEEEEAAAQQQQAABBBBAAAEEEEAAgWwQYBGkbHhLtBEBBBBAAAEEEEAAAQQQQAABBBBAAAEEkhIgAJoUGzchgAACCCCAAAIIIIAAAggggAACCCCAQDYIEADNhrdEGxFAAAEEEEAAAQQQQAABBBBAAAEEEEAgKQECoEmxcRMCCCCAAAIIIIAAAggggAACCCCAAAIIZIMAAdBseEu0EQEEEEAAAQQQQAABBBBAAAEEEEAAAQSSEiAAmhQbNyGAAAIIIIAAAggggAACCCCAAAIIIIBANggQAM2Gt0QbEUAAAQQQQAABBBBAAAEEEEAAAQQQQCApAQKgSbFxEwIIIIAAAggggAACC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" width="672" /></p>
<pre class="r"><code>ggsave(
 here::here( &quot;0_pmt_sharing_discernment.pdf&quot;), height = 6, width = 4)</code></pre>
</div>
<div id="replication-of-treatment-effects-in-study-2" class="section level4">
<h4>6.3.5 Replication of treatment effects in Study 2</h4>
<p>Suggested by editor and reviewer (comment 8)</p>
<pre class="r"><code>load(here::here( &quot;wave3_data.Rdata&quot;)) # Load wave 

df &lt;- wave3 %&gt;% as.data.frame() 

# I also want to add an interaction term, which I do below. 
# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)


# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;)) %&gt;% 
  # Add row with interaction term
  add_row(f = glue(&quot;sharing_all ~ {ivs}*real&quot;))


# Run regression for all models by applying lm function on formulas
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ feols(
    fml = as.formula(.x),
    data = df,
    cluster = c(&quot;resid&quot;, &quot;headline&quot;)
  ))) </code></pre>
<pre><code>## NOTE: 60,360 observations removed because of NA values (LHS: 60,360).
## NOTE: 60,360 observations removed because of NA values (LHS: 60,360).</code></pre>
<pre><code>## NOTE: 40,240 observations removed because of NA values (LHS: 40,240).</code></pre>
<pre class="r"><code># Get coefficients
m0$model %&gt;% map(tidy) %&gt;% 
  map_if(is.data.frame, ~mutate_if(.x, is.numeric, round, 3))</code></pre>
<pre><code>## [[1]]
## # A tibble: 4 × 5
##   term           estimate std.error statistic p.value
##   &lt;chr&gt;             &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;   &lt;dbl&gt;
## 1 (Intercept)       0.131     0.01     13.5     0    
## 2 treatmentNudge    0.009     0.012     0.712   0.485
## 3 treatmentShort   -0.009     0.012    -0.781   0.445
## 4 treatmentLong    -0.022     0.012    -1.83    0.083
## 
## [[2]]
## # A tibble: 4 × 5
##   term           estimate std.error statistic p.value
##   &lt;chr&gt;             &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;   &lt;dbl&gt;
## 1 (Intercept)       0.261     0.014    18.3     0    
## 2 treatmentNudge    0.005     0.016     0.343   0.735
## 3 treatmentShort   -0.015     0.016    -0.934   0.362
## 4 treatmentLong     0.001     0.016     0.042   0.967
## 
## [[3]]
## # A tibble: 8 × 5
##   term                    estimate std.error statistic p.value
##   &lt;chr&gt;                      &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;   &lt;dbl&gt;
## 1 (Intercept)                0.131     0.01     13.6     0    
## 2 treatmentNudge             0.009     0.012     0.722   0.475
## 3 treatmentShort            -0.009     0.012    -0.791   0.434
## 4 treatmentLong             -0.022     0.012    -1.85    0.072
## 5 realreal                   0.13      0.013     9.72    0    
## 6 treatmentNudge:realreal   -0.003     0.013    -0.254   0.801
## 7 treatmentShort:realreal   -0.005     0.012    -0.448   0.656
## 8 treatmentLong:realreal     0.022     0.013     1.71    0.095</code></pre>
<pre class="r"><code>no_obs &lt;- m0[[&quot;model&quot;]][[1]][[&quot;nobs&quot;]]

# calculate mean sharing discernment and collapse by respondent
df_disc &lt;- df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T)) </code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0_disc &lt;- fs %&gt;%
  mutate(model = map(f, ~ feols(
    fml = as.formula(.x),
    data = df_disc,
    cluster = c(&quot;resid&quot;)
  ))) 

m0_disc$model %&gt;% map(tidy) %&gt;% 
  map_if(is.data.frame, ~mutate_if(.x, is.numeric, round, 3))</code></pre>
<pre><code>## [[1]]
## # A tibble: 4 × 5
##   term           estimate std.error statistic p.value
##   &lt;chr&gt;             &lt;dbl&gt;     &lt;dbl&gt;     &lt;dbl&gt;   &lt;dbl&gt;
## 1 (Intercept)       0.13      0.009    14.6     0    
## 2 treatmentNudge   -0.003     0.012    -0.257   0.797
## 3 treatmentShort   -0.005     0.012    -0.45    0.653
## 4 treatmentLong     0.022     0.013     1.67    0.095</code></pre>
<pre class="r"><code># combine models
m0 &lt;- rbind(m0, m0_disc)

# Define the three models
models &lt;- list(
  &quot;False headline sharing&quot; = m0$model[[1]],
  &quot;Real headline sharing&quot; = m0$model[[2]],
  &quot;Sharing discernment&quot; = m0$model[[4]],
  &quot;All headlines (Intervention X veracity)&quot; = m0$model[[3]]
)


# Get some statistics
temp = models %&gt;% modelsummary(statistic = &quot;conf.int&quot;, output = &quot;modelsummary_list&quot;) %&gt;% map(tidy)  
    
# Round to 3 digits
temp %&gt;%
  map_if(is.data.frame, ~mutate_if(.x, is.numeric, round, 3))</code></pre>
<pre><code>## $`False headline sharing`
##             term estimate std.error conf.level conf.low conf.high statistic
## 1    (Intercept)    0.131     0.010       0.95    0.111     0.152    13.455
## 2 treatmentNudge    0.009     0.012       0.95   -0.017     0.034     0.712
## 3 treatmentShort   -0.009     0.012       0.95   -0.034     0.015    -0.781
## 4  treatmentLong   -0.022     0.012       0.95   -0.047     0.003    -1.828
##   df.error p.value group
## 1       19   0.000      
## 2       19   0.485      
## 3       19   0.445      
## 4       19   0.083      
## 
## $`Real headline sharing`
##             term estimate std.error conf.level conf.low conf.high statistic
## 1    (Intercept)    0.261     0.014       0.95    0.231     0.291    18.265
## 2 treatmentNudge    0.005     0.016       0.95   -0.028     0.039     0.343
## 3 treatmentShort   -0.015     0.016       0.95   -0.047     0.018    -0.934
## 4  treatmentLong    0.001     0.016       0.95   -0.033     0.034     0.042
##   df.error p.value group
## 1       19   0.000      
## 2       19   0.735      
## 3       19   0.362      
## 4       19   0.967      
## 
## $`Sharing discernment`
##             term estimate std.error conf.level conf.low conf.high statistic
## 1    (Intercept)    0.130     0.009       0.95    0.113     0.148    14.650
## 2 treatmentNudge   -0.003     0.012       0.95   -0.028     0.021    -0.257
## 3 treatmentShort   -0.005     0.012       0.95   -0.029     0.018    -0.450
## 4  treatmentLong    0.022     0.013       0.95   -0.004     0.049     1.669
##   df.error p.value group
## 1     2011   0.000      
## 2     2011   0.797      
## 3     2011   0.653      
## 4     2011   0.095      
## 
## $`All headlines (Intervention X veracity)`
##                      term estimate std.error conf.level conf.low conf.high
## 1             (Intercept)    0.131     0.010       0.95    0.112     0.151
## 2          treatmentNudge    0.009     0.012       0.95   -0.016     0.033
## 3          treatmentShort   -0.009     0.012       0.95   -0.033     0.014
## 4           treatmentLong   -0.022     0.012       0.95   -0.046     0.002
## 5                realreal    0.130     0.013       0.95    0.103     0.157
## 6 treatmentNudge:realreal   -0.003     0.013       0.95   -0.029     0.022
## 7 treatmentShort:realreal   -0.005     0.012       0.95   -0.030     0.019
## 8  treatmentLong:realreal    0.022     0.013       0.95   -0.004     0.049
##   statistic df.error p.value group
## 1    13.631       39   0.000      
## 2     0.722       39   0.475      
## 3    -0.791       39   0.434      
## 4    -1.852       39   0.072      
## 5     9.724       39   0.000      
## 6    -0.254       39   0.801      
## 7    -0.448       39   0.656      
## 8     1.710       39   0.095</code></pre>
<pre class="r"><code>#%&gt;% 
#  .$`Sharing discernment` %&gt;% 
#  mutate(across(.cols = where(is.numeric),
#                # anonymous function
#                .fns = \(x) round(x, digits = 3)))


# This edits the labels (not necessary)
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &quot;realreal&quot; = &quot;Headline veracity (0 = false, 1 = true)&quot;,
  &quot;treatmentNudge:realreal&quot; = &quot;Accuracy nudge X veracity&quot;,
  &quot;treatmentShort:realreal&quot; = &quot;15 sec video X veracity&quot;,
  &quot;treatmentLong:realreal&quot; = &quot;3 min video X veracity&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)

# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2)

# Create table
modelsummary(
  models,
  title = &quot;Regression output of figure \\ref{fig:study2_treatment_replication}: Willingness to share headlines (Study 2). \\label{tab:study2_treatment_replication}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
               output = &quot;latex&quot;,
  escape = F) %&gt;% 
  kable_styling(latex_options = c(&quot;hold_position&quot;,
                                  &quot;scale_down&quot;,
                                   notation=&quot;none&quot;),
                font_size = 7,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;&#39;False headline sharing&#39; shows the regression output of the left panel in figure 9. &#39;Real headline sharing&#39; shows the regression output of the middle panel. &#39;Sharing discernment&#39; shows the regression output of the right panel. The discernment score is calculated as the respondent level difference between mean real and false headline sharing, that is, sharing real - sharing false. &#39;All headlines (Treatment X veracity)&#39; shows a regression where all headlines are included with the interaction of the treatment interventions and the veracity of the headline on sharing intention. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent level. All regressions are based on observations from {no_obs} participants * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  save_kable(file = here::here(  &quot;study2_treatment_replication.tex&quot;))


#### Plot ####

# Define the three models
models &lt;- list(
  &quot;False headlines&quot; = m0$model[[1]],
  &quot;Real headlines&quot; = m0$model[[2]],
  &quot;Sharing discernment&quot; = m0$model[[4]]
)

m = modelplot(models, draw = FALSE) %&gt;% 
    filter(term != &quot;(Intercept)&quot;) %&gt;% 
  mutate(
  term = factor(
    term,
    levels = c(&quot;treatmentLong&quot;,
               &quot;treatmentShort&quot;,
               &quot;treatmentNudge&quot;),
    labels = c(&quot;3 min video&quot;,
               &quot;15 sec video&quot;,
               &quot;Accuracy nudge&quot;)
  ))

# Create plot
m %&gt;%
  ggplot(aes(x = estimate,
             y = term)) +
  geom_vline(xintercept = 0) +
  geom_point() +
  geom_errorbarh(
    aes(xmin = conf.low, xmax = conf.high),
    height = 0) +
  geom_text(aes(label = sprintf(&quot;%0.2f (%0.2f)&quot;, estimate, std.error)),
            vjust = 2,
            position = position_dodge(width = 1),
            size = 2)+
  scale_x_continuous(
    limits = c(-.11, .11),
    labels = dropLeadingZero)+
    facet_wrap( ~ model, ncol = 3L) +
  xlab(&quot;&quot;) +
  ylab(&quot;&quot;)</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>ggsave(
  here::here( &quot;study2_treatment_replication.pdf&quot;),
  height = 2,
  width = 6)</code></pre>
<div id="marginal-means-for-experimental-conditions-in-study-1-and-study-2" class="section level5">
<h5>Marginal means for experimental conditions in study 1 and study
2</h5>
<p>Here we show that the baseline for the control condition moves</p>
<pre class="r"><code># Load datasets
load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 
wave2 = df

load(here::here( &quot;wave3_data.Rdata&quot;)) # Load wave 
wave3 = wave3 %&gt;% as.data.frame()


# Calculate cohen&#39;s d
wave2 %&gt;% cohens_d(sharing_fake ~ treatment, var.equal = TRUE)</code></pre>
<div data-pagedtable="false">
<script data-pagedtable-source type="application/json">
{"columns":[{"label":[""],"name":["_rn_"],"type":[""],"align":["left"]},{"label":[".y."],"name":[1],"type":["chr"],"align":["left"]},{"label":["group1"],"name":[2],"type":["chr"],"align":["left"]},{"label":["group2"],"name":[3],"type":["chr"],"align":["left"]},{"label":["effsize"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["n1"],"name":[5],"type":["int"],"align":["right"]},{"label":["n2"],"name":[6],"type":["int"],"align":["right"]},{"label":["magnitude"],"name":[7],"type":["ord"],"align":["right"]}],"data":[{"1":"sharing_fake","2":"Control","3":"Nudge","4":"0.063668332","5":"8490","6":"8535","7":"negligible","_rn_":"1"},{"1":"sharing_fake","2":"Control","3":"Short","4":"0.007916023","5":"8490","6":"8280","7":"negligible","_rn_":"2"},{"1":"sharing_fake","2":"Control","3":"Long","4":"0.222237178","5":"8490","6":"8175","7":"small","_rn_":"3"},{"1":"sharing_fake","2":"Nudge","3":"Short","4":"-0.055301923","5":"8535","6":"8280","7":"negligible","_rn_":"4"},{"1":"sharing_fake","2":"Nudge","3":"Long","4":"0.155239338","5":"8535","6":"8175","7":"negligible","_rn_":"5"},{"1":"sharing_fake","2":"Short","3":"Long","4":"0.212285225","5":"8280","6":"8175","7":"small","_rn_":"6"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
  </script>
</div>
<pre class="r"><code>wave3 %&gt;% cohens_d(sharing_fake ~ treatment, var.equal = TRUE)</code></pre>
<div data-pagedtable="false">
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<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)
df &lt;- list(&quot;wave2&quot;= wave2, &quot;wave2&quot; = wave3)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients

# Run apply funciton on dataframes
raw = list(NULL)

for (i in 1:length(df)){
raw[[i]] &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df[[i]],
    clusters = resid
  ))) %&gt;% 
  pull(model) 
}

############################ T-test# ###############################

# Perform two-sample t-test

# T-test for control
# Start by filtering to keep control condition
group2 = wave2 %&gt;% 
  filter(treatment == &quot;Control&quot;)
group3 = wave3 %&gt;% 
  filter(treatment == &quot;Control&quot;)

# t-test
c_f = t.test(group2$sharing_fake, group3$sharing_fake, var.equal=TRUE) %&gt;% tidy() %&gt;% mutate(model = &quot;Control False&quot;)
c_r = t.test(group2$sharing_real, group3$sharing_real, var.equal=TRUE) %&gt;% tidy() %&gt;% mutate(model = &quot;Control Real&quot;)

# T-test for Long
group2 = wave2 %&gt;% 
  filter(treatment == &quot;Long&quot;)
group3 = wave3 %&gt;% 
  filter(treatment == &quot;Long&quot;)

l_f = t.test(group2$sharing_fake, group3$sharing_fake, var.equal=TRUE) %&gt;% tidy() %&gt;% mutate(model = &quot;Long False&quot;)
l_r = t.test(group2$sharing_real, group3$sharing_real, var.equal=TRUE) %&gt;% tidy() %&gt;% mutate(model = &quot;Long Real&quot;)

rbind(c_f, c_r, l_f,l_r) %&gt;% select(model, everything())</code></pre>
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<pre class="r"><code>d = NULL

#### Combine to a graph 

# Wave 2 (study 1) false 
w2f = get_model_data(raw[[1]][[1]], type = &quot;pred&quot;) %&gt;%  
  as.data.frame() %&gt;% 
  mutate(sharing = &quot;False&quot;,
         Study = &quot;Study 1&quot;)

# Wave 2 (study 1) real 
w2r = get_model_data(raw[[1]][[2]], type = &quot;pred&quot;) %&gt;% 
  as.data.frame() %&gt;% 
  mutate(sharing = &quot;Real&quot;,
         Study = &quot;Study 1&quot;)

# Wave 3 (study 2) false 
w3f = get_model_data(raw[[2]][[1]], type = &quot;pred&quot;) %&gt;% 
  as.data.frame() %&gt;% 
  mutate(sharing = &quot;False&quot;,
         Study = &quot;Study 2&quot;)

# Wave 3 (study 2) real 
w3r = get_model_data(raw[[2]][[2]], type = &quot;pred&quot;) %&gt;% 
  as.data.frame() %&gt;% 
  mutate(sharing = &quot;Real&quot;,
         Study = &quot;Study 2&quot;)

# Combine data to grpah
d = rbind(w2f,
          w2r,
          w3f,
          w3r) %&gt;% 
  rename_with(~str_remove(., &quot;^treatment\\.&quot;), everything()) %&gt;% 
  mutate(treatment = factor(
      x,
      levels = c(1, 2, 3, 4),
      labels = c(&quot;Control&quot;,
                 &quot;Accuracy nudge&quot;,
                 &quot;15 sec video&quot;,
                 &quot;3 min video&quot;)))

# Create plot
d %&gt;% ggplot(
  aes(
    x = treatment,
    y = predicted,
    color = Study
  ))+
  facet_wrap(~sharing)+
  geom_point(position = position_dodge(width = 0.2))+
  geom_errorbar(aes(ymin=conf.low, ymax=conf.high), 
                linewidth=.5, width=.2,
                position = position_dodge(0.2))+
  geom_text(aes(label = sprintf(&quot;%0.2f (%0.2f)&quot;, predicted, std.error)),
            vjust = 2,
            position = position_dodge(width = 1),
            size = 2)</code></pre>
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AVLliyxw+B1n9vt9q9SYrl///6iGWKXL18uZ5xxhhxxxBF2GLwOhddr6D7/osPdtDRv3lx+//13/12+Ze35MX/+fJv8gACoj4UFBBBAAAEEql3gnHPOkfT0dJvhXae90elqNmzYIA0bNpTHH39cevbsGbJNzr/32itUP/wMLpo9XosmOnKKBj71yyn6Iav2MNUkjfqh6Jo1a+wu58NXpx6vCCCAAAIIJJoAAdBEe6LcDwIIVKqA9tps06ZNxOfUNxDaa1SHnGnQU4eXOcUZduash3vNysqy83hpsiMdDqdD5fRL5/TU4OXZZ59te3k4xzvJErSH51//+ldnc8hXp27InWxEAAEEEEAAgSoX0NEiOpe3U/SD0XvuuUe++eYb+fvf/y46n3hw4kIdxq5D1bU8+OCDzqEhXzXpkU6Lk5aWZvevX79e3n77bTu8XgOf/h/ERvq3ScgLsREBBBBAAIE4EiAAGkcPi6YigEBsC+hcnPoG5uuvv7YN1eQFw4YNEx1+psmHtOemZmeNpOi8nR988IH88ssvNkmBZm7VNy0a5HS+br75Znsqva4W7Tl61FFH2eVw37p27RpuF9sRQAABBBBAoAYEdDSJJjjU+b9/++03+cc//iH//e9/baIjpznOv/W6fvXVV0tqaqqzq9RXHf2hAVedpkevo3+P6JcGWAcMGCBPPPGE/Pjjj6Weg50IIIAAAggkggAB0ER4itwDAgjEhIBmZdXgpwY6dQibJjHyL858ov5vYvz3By9rrwydw8uZx0t7g+obog8//FDef/99m/BIh8Q7PVT1uppsiYIAAggggAAC8SWg/+bfe++9NmO7DofXBEjPP/+8Hf2hd6I9RuvVq2d7gR566KHSrVu3iG7wvvvus8FPTYp45513lki+pH9baIn0b5OILkolBBBAAAEEYlAgKQbbRJMQQACBuBTQXhtajjzyyBLBT92+cOFCfZGy5tnSJAc6P9irr75q6zvfWrZsKTfddJN9A6RvVJYuXWp36fyeWvT6mjQpuOTl5cmIESPk0ksvlenTpwfvZh0BBBBAAAEEYkBA5/LW3p9a9N90HQniX5x/750PVP336fLHH39s5yLX0ShadMi887eC9gINzjyvvUJ1nnItZf1tYivxDQEEEEAAgTgWIAAaxw+PpiOAQGwJOMmJZsyYETC/lrbyp59+ktdff902OD8/v9SGay8PTYCkvT2d+b6cA+bNm2e3afIEJ0mCDn3X3qa7d++Whx56SDTg6V+efvpp0eP0TVCkPUb8j2cZAQQQQAABBKpH4NRTT5VDDjnEXuyZZ56RTZs2+S6s2d+1vPHGGzZA6tthFnSeTx3OrtPltGjRwu7SgKczx2fwB6D6t4gGWwsLC23dsv428b8WywgggAACCMSjAEPg4/Gp0WYEEIhJgeOOO07+97//iSYfuOSSS0QTKGkCAs3UqnN56vybixcvtgFKDVZqsqNQ5cQTT7TD3LXH6EknnSTOUDed+1ODq1ouvvjigJ4cOh+o9u7QYfg6DF7nAtW5viZOnCiaNVYTKN11111hrxmqHWxDAAEEEEAAgeoXuP322+Xcc88VzRD/yCOPyL///W/bCP3A84wzzrB/I2jSQ51nXOfyXLBggehc4dqjUz8c1b8RtOiHpfq3ydixY2XUqFE2aNq3b1/7t8jUqVPt3ys6H6jOE7p582Z7DN8QQAABBBBIVAF6gCbqk+W+EECg2gU0cdGjjz5qe15o8HL06NGivS/1jcV1111nh7TrGw8tGqgMV7THxpNPPiknn3yy7UmqyQleeOEF++amYcOGdo4wpxeIcw4dFvfuu+/K0KFDbS+QN9980/Y41eCnBl61V4i+CaIggAACCCCAQGwLtGrVSq644grbSP0b4LvvvvM1+LbbbpORI0dKdna2jBs3Tv7zn//Yvyk8Ho8Nmj711FOSmZnpq3/LLbfIKaecInv37rWB0IcfftgOlddrvPPOO74h9xMmTGAeUJ8aCwgggAACiSjgMvPI7UsfnIh3l2D3pJkhDz/8cLnjjjvKzPScYLfO7SAQVwI6j5YORdP/ZvUNRuPGjcvdfu3NoefatWuXtG/f3iZBKOtkbrdbVq9ebY/RYXAVuX5Z12I/AggECmiv6wceeMBOexGL/+1pTzL9sGTMmDGBDWcNAQTiTkDn/dYh7zp1jv57rz0+wxX9O0L/NtAh8fr3hI5QoSCAQGwK3HjjjfZDDv2Ag4IAApUnwBD4yrPkTAgggIAV0DcXGvjUr4oW7cXRoUOHqE6jQ9/1zQ0FAQQQQAABBBJXoH79+qJfkZQ6depIjx49IqlKHQQQQAABBBJSgCHwCflYuSkEEEAAAQQQQAABBBBAAAEEEEAAAQQQUAECoPwcIIAAAggggAACCCCAAAIIIIAAAggggEDCChAATdhHy40hgAACCCCAAAIIIIAAAggggAACCCCAAAFQfgYQQAABBBBAAAEEEEAAAQQQQAABBBBAIGEFCIAm7KPlxhBAAAEEEEAAAQQQQAABBBBAAAEEEECAACg/AwgggAACCCCAAAIIIIAAAggggAACCCCQsAIEQBP20XJjCCCAAAIIIIAAAggggAACCCCAAAIIIEAAlJ8BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEhYAQKgCftouTEEEEAAAQQQQAABBBBAAAEEEEAAAQQQIADKzwACCCCAAAIIIIAAAggggAACCCCAAAIIJKxASsLeWQLf2JgxY2TcuHEJfIfcGgIIIIAAAvEpsG3btphv+J49e+Tuu++O+XbSQAQQQAABBA5EgRUrVkh2dvaBeOvcMwJVKkAAtEp5K/fkSUlJ0qdPH3vSvLy8yj05Z0MAAQQQQACBCgvUqlXL/lut/2bHYqlfv7707NlT+DsiFp8ObUIAAQQQQECkQ4cO0rx5cygQQKCSBQiAVjJoVZ7O6/XKzJkzq/ISnBsBBBBAAAEEKkFA/82OxaK9P/lbIhafDG1CAAEEEECgWKBZs2bFKywhgEClCBAArRTG6j3J7bffLkcddVT1XpSrIYAAAggggECZAhMnTpQHH3ywzHo1WaFevXry7rvv1mQTuDYCCCCAAAIIhBG46aabwuxhMwIIVESAAGhF9Gro2CZNmkj79u1r6OpcFgEEEEAAAQTCCSxcuDDcrpjZrsPz+TsiZh4HDUEAAQQQQCBAICMjI2CdFQQQqByB2JygqnLujbMggAACCCCAAAIIIIAAAggggAACCCCAwAEukHA9QPPz8+X999+X6dOny/bt26Vz587St29fGT58uCQnJ0f9uDXb+oQJE2TNmjV2IuJevXrJkCFDSp2UeMGCBfLee+/JypUrpXbt2qLHDB061E5mHHUDOAABBBBAAAEEEEAAAQQQQAABBBBAAAEEyi2QUAHQHTt2yN/+9jdZvXq1BWnYsKGMHTvWfk2ePFnuueceSUtLiwjL7XbLrbfeKlOnTrX169SpI8uWLZNJkybJW2+9JY8++qj06NGjxLk0+Dpq1Ci7PSsrSwoKCuS3336TMWPGyMMPPywHH3xwiWPYgAACCCCAAAIIIIAAAggggAACCCCAAAJVI5BQQ+BHjhxpg5+HHnqofP755/LJJ5/IO++8Ix07dpQff/xRnnrqqYgVR48ebYOfLVq0sMkMPv30U/nggw/koosukpycHLnuuutk69atAeebPXu2vYYGWTUBwpdffmmDr9dee63k5ubKjTfeKBs2bAg4hhUEEEAAAQQQQAABBBBAAAEEEEAAAQQQqDqBhAmAzps3T6ZNmyaZmZnywAMPiGY41dKyZUt5/PHH7fD3r776Snbt2lWmpvba1OCplksvvdRmXE9JSZHs7Gz5y1/+Iq1bt5a8vDxf71DnhK+//rp4vV658MIL7TEul0tSU1Pl7LPPlrPOOksKCwvl448/dqrzigACCCCAAAIIIIAAAggggAACCCCAAAJVLJAwAVCdp1PL0UcfLcFZ03Qo/MCBA+1wdA2CllV07tCjjjpK+vfvL8cee2yJ6rpPy/z583379u7dawOwuuH444/3bXcWnG3aM1WH11MQQAABBBBAAAEEEEAAAQQQQAABBBBAoOoFEiYAOnfuXKulw99DFQ2Aapk1a1ao3QHbmjZtKnfeeac8+eSToj0/g8uSJUvspp49e/p2aTBUe39q71AdNh9cunXrJjqPqA6fX7VqVfBu1hFAAAEEEEAAAQQQQAABBBBAAAEEEECgCgRKRveq4CLVccq1a9fay9SvXz/k5ZztToKkkJXK2KiZ4D/77DM79L1Zs2YyePBg3xFlXV8raht0CL62oUOHDr5j/Re2bdtmM877b3OW9+zZ4yzyigACCCCAAAIIIIAAAggggAACCCCAAAIRCCRMANQJDjqBzuB7r1u3rt3k1AveX9r6woUL5d577/UFJnv16iUPPfSQOOfUY53zhru+1nHqO3V1W3AZN26c3HXXXcGb7XqDBg1CbmcjAggggAACCCCAAAIIIIAAAggggAACCIQWSIgh8B6PxyYl0lvUYeahSlZWlt2cn58fanep25YuXWqzuOtcolpWrlwpP/30kx3y7hyoc4BqCXd93ee0QRMoURBAAAEEEEAAAQQQQAABBBBAAAEEEECg6gUSogdoUlKSzf6em5sr4QKczva0tLSoVU844QQ58cQT7XGLFi2S+++/Xx5++GEbBNWeoFpq165tXzWDfLjitCE9PT1cFWnXrp388Y9/DLlf5yP94IMPQu5jIwIIIIAAAggggAACCCCAAAIIIIAAAgiUFEiIAKjeVuPGje3cmjrHZqjibHcClaHqhNvmcrl8u7p06SIPPvigjBgxQiZOnCiafEmTIen1tezcudNXN3ghkjZosiYnYVPw8Vu3biUAGozCOgIIIIAAAggggAACCCCAAAIIIIAAAqUIJMQQeL0/JwDpBBmD79kJTFbGPJpt27b1JTHSHqGRXF/rVGYb7EX5hgACCCCAAAIIIIAAAggggAACCCCAA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width="672" /></p>
<pre class="r"><code>ggsave(
  here::here( &quot;study2_treatment_replication_w2_w3_mm.pdf&quot;),
  height = 3,
  width = 6)</code></pre>
</div>
<div id="effect-size-2" class="section level5">
<h5>Effect size</h5>
<pre class="r"><code># Load data
load(here::here( &quot;wave3_data.Rdata&quot;)) # Load wave 

df &lt;- wave3 %&gt;% as.data.frame

# Calculate cohen&#39;s d

# false sharing
df %&gt;%
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  cohens_d(sharing_fake ~ treatment,
           var.equal = TRUE) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize, group1) %&gt;% 
  round(digits = 2)</code></pre>
<pre><code>##  Long Short Nudge 
## -0.09 -0.04  0.03</code></pre>
<pre class="r"><code># real sharing
df %&gt;%
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  cohens_d(sharing_real ~ treatment,
           var.equal = TRUE) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize, group1) %&gt;% 
  round(digits = 2)</code></pre>
<pre><code>##  Long Short Nudge 
##  0.00 -0.05  0.02</code></pre>
<pre class="r"><code>df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T)) %&gt;% 
  ungroup() %&gt;% 
  mutate(treatment = fct_rev(treatment)) %&gt;% 
  cohens_d(sharing_disc ~ treatment, var.equal = TRUE) %&gt;%  
  mutate_if(is.numeric, ~round(., 3)) %&gt;% 
  filter(group2 == &quot;Control&quot;) %&gt;% 
  pull(effsize,group1)</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre><code>##   Long  Short  Nudge 
##  0.107 -0.028 -0.016</code></pre>
</div>
</div>
<div id="subset-on-attention-check-and-social-media-users" class="section level4">
<h4>6.3.6 Subset on attention check and social media users</h4>
<div id="descriptives-for-attention-checks" class="section level5">
<h5>Descriptives for attention checks</h5>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

# Pivot
df &lt;- df %&gt;%
  pivot_wider(
    id_cols = c(resid, starts_with(&quot;mean_&quot;), starts_with(&quot;attention&quot;), treatment),
    names_from = headline,
    values_from = c(sharing_all,sharing_fake, sharing_real)
  ) %&gt;% select(!starts_with(&quot;sharing_&quot;))

# Attention check 1
df &lt;- df %&gt;% 
  mutate(advice3 = 
           case_when(
            attention1_1 == 1 &amp; attention1_3 == 1 &amp; attention1_4 == 1 ~ 3,
            attention1_1 == 1 &amp; attention1_3 == 1 | 
                attention1_3 == 1 &amp; attention1_4 == 1 |
                attention1_1 == 1 &amp; attention1_4 == 1 ~ 2,
            attention1_1 == 1 | attention1_3 == 1 | attention1_4 == 1 ~ 1,
            attention1_1 == 0 | attention1_3 == 0 | attention1_4 == 0 ~ 0),
         attention1_pass = if_else(advice3 &gt; 0, 1, 0))

table(df$advice3)</code></pre>
<pre><code>## 
##   0   1   2   3 
## 181 170 375 371</code></pre>
<pre class="r"><code>table(df$attention1_pass)</code></pre>
<pre><code>## 
##   0   1 
## 181 916</code></pre>
<pre class="r"><code>mean(df$attention1_pass, na.rm = T)</code></pre>
<pre><code>## [1] 0.8350046</code></pre>
<pre class="r"><code>datasummary_skim(df)</code></pre>
<pre><code>## Warning in breaks[-1L] + breaks[-nB]: NAs produced by integer overflow</code></pre>
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Max
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resid
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2232
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0
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2100160983.9
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5616265.2
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2074197820.0
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2100023350.0
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2107938366.0
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3
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51
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0.7
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
.svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
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.svglite text {
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</svg>
</td>
</tr>
<tr>
<td style="text-align:left;">
Er det videnskabeligt bevist?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.3
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
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stroke-miterlimit: 10.00;
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.svglite text {
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</svg>
</td>
</tr>
<tr>
<td style="text-align:left;">
Er der mange der siger det?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.6
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
.svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
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stroke: #000000;
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stroke-linejoin: round;
stroke-miterlimit: 10.00;
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.svglite text {
white-space: pre;
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</svg>
</td>
</tr>
<tr>
<td style="text-align:left;">
Er det for vildt?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.5
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
.svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
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stroke: #000000;
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stroke-linejoin: round;
stroke-miterlimit: 10.00;
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.svglite text {
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</svg>
</td>
</tr>
<tr>
<td style="text-align:left;">
Ser det mistænkeligt ud?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.2
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
.svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
fill: none;
stroke: #000000;
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stroke-linejoin: round;
stroke-miterlimit: 10.00;
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.svglite text {
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</defs><rect width="100%" height="100%" style="stroke: none; fill: none;"></rect><defs><clipPath id="cpMC4wMHw0OC4wMHwwLjAwfDEyLjAw"><rect x="0.00" y="0.00" width="48.00" height="12.00"></rect></clipPath></defs><g clip-path="url(#cpMC4wMHw0OC4wMHwwLjAwfDEyLjAw)">
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</svg>
</td>
</tr>
<tr>
<td style="text-align:left;">
Er der stavefejl?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.2
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
.svglite line, .svglite polyline, .svglite polygon, .svglite path, .svglite rect, .svglite circle {
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stroke: #000000;
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stroke-linejoin: round;
stroke-miterlimit: 10.00;
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.svglite text {
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</td>
</tr>
<tr>
<td style="text-align:left;">
Er det en reklame?
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.1
</td>
<td style="text-align:right;">
0.3
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
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</td>
</tr>
<tr>
<td style="text-align:left;">
Ved ikke
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.1
</td>
<td style="text-align:right;">
0.3
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="svglite" width="48.00pt" height="12.00pt" viewBox="0 0 48.00 12.00">
<defs>
<style type="text/css">
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<tr>
<td style="text-align:left;">
I denne undersøgelse har du deltaget i et eksperiment. Vælg neden for
hvilken af
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
1.8
</td>
<td style="text-align:right;">
0.8
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
2.0
</td>
<td style="text-align:right;">
3.0
</td>
<td style="text-align:right;">
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<tr>
<td style="text-align:left;">
advice3
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
1.9
</td>
<td style="text-align:right;">
1.1
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<td style="text-align:right;">
0.0
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<td style="text-align:right;">
2.0
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3.0
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<td style="text-align:left;">
attention1_pass
</td>
<td style="text-align:right;">
3
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
0.8
</td>
<td style="text-align:right;">
0.4
</td>
<td style="text-align:right;">
0.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
1.0
</td>
<td style="text-align:right;">
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<pre class="r"><code># Attention check 2

# Create attention test pass variable
df &lt;- df %&gt;%
  mutate(attention2_pass = if_else(attention2 == 1 &amp; treatment == &quot;Control&quot; |
                              attention2 == 1 &amp; treatment == &quot;Nudge&quot; |
                              attention2 == 2 &amp; treatment == &quot;Short&quot; |
                              attention2 == 3 &amp; treatment == &quot;Long&quot;, 1, 0))


# Test how many respondents passed attention check
mean(df$attention2_pass, na.rm = T)</code></pre>
<pre><code>## [1] 0.8794803</code></pre>
<pre class="r"><code>table(df$attention2_pass)</code></pre>
<pre><code>## 
##    0    1 
##  269 1963</code></pre>
</div>
<div id="regression-among-attentive-respondents" class="section level5">
<h5>Regression among attentive respondents</h5>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 

df &lt;- df %&gt;%
  mutate(attention2_pass = if_else(attention2 == 1 &amp; treatment == &quot;Control&quot; |
                              attention2 == 1 &amp; treatment == &quot;Nudge&quot; |
                              attention2 == 2 &amp; treatment == &quot;Short&quot; |
                              attention2 == 3 &amp; treatment == &quot;Long&quot;, 1, 0))


df &lt;- df %&gt;%
  filter(attention2_pass == 1)

# I also want to add an interaction term, which I do below. 
# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;)) %&gt;% 
  # Add row with interaction term
  add_row(f = glue(&quot;sharing_all ~ {ivs}*real&quot;))

# Run regression for all models by applying lm function on formulas
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  ))) 

nclus &lt;- m0[[&quot;model&quot;]][[1]][[&quot;nclusters&quot;]]

# calculate mean sharing discernment and collapse by respondent
df_disc &lt;- df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0_disc &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df_disc,
    clusters = resid
  ))) 

# combine models
m0 &lt;- rbind(m0, m0_disc)

# Define the three models
models &lt;- list(
  &quot;False headline sharing&quot; = m0$model[[1]],
  &quot;Real headline sharing&quot; = m0$model[[2]],
  &quot;Sharing discernment&quot; = m0$model[[4]],
  &quot;All headlines (Intervention X veracity)&quot; = m0$model[[3]]
)

# This edits the labels (not necessary)
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &quot;realreal&quot; = &quot;Headline veracity (0 = false, 1 = true)&quot;,
  &quot;treatmentNudge:realreal&quot; = &quot;Accuracy nudge X veracity&quot;,
  &quot;treatmentShort:realreal&quot; = &quot;15 sec video X veracity&quot;,
  &quot;treatmentLong:realreal&quot; = &quot;3 min video X veracity&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)


# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)

# Create table
modelsummary(
  models,
  title = &quot;Willingness to share headlines among attentive respondents. \\label{tab:fig1_regout_attention}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
               output = &quot;latex&quot;)  %&gt;% 
  kable_styling(latex_options = c(&quot;hold_position&quot;,
                                  &quot;scale_down&quot;,
                                   notation=&quot;none&quot;),
                font_size = 7,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;Sharing discernment is calculated as the respondent level difference between mean real and false headline sharing, that is, sharing real - sharing false. &#39;All headlines (Treatment X veracity)&#39; shows a regression where all headlines are included with the interaction of the treatment interventions and the veracity of the headline on sharing intention. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent level. All regressions are based on observations from {nclus} respondents. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  save_kable(file = here::here(  &quot;fig1_regoutput_attention.tex&quot;))</code></pre>
</div>
<div id="regression-among-social-media-users" class="section level5">
<h5>Regression among social media users</h5>
<p>These regressions are filtered on social media user</p>
<pre class="r"><code>load(here::here( &quot;final_data.Rdata&quot;)) # Load wave 


df &lt;- df %&gt;%
  filter(facebook_user == 1)


# I also want to add an interaction term, which I do below. 
# Define vars
dvs &lt;- c(&quot;sharing_fake&quot;, &quot;sharing_real&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;)) %&gt;% 
  # Add row with interaction term
  add_row(f = glue(&quot;sharing_all ~ {ivs}*real&quot;))

# Run regression for all models by applying lm function on formulas
m0 &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df,
    clusters = resid
  ))) 

nclus &lt;- m0[[&quot;model&quot;]][[1]][[&quot;nclusters&quot;]]

# calculate mean sharing discernment and collapse by respondent
df_disc &lt;- df %&gt;%
  group_by(resid, treatment) %&gt;%
  summarise(sharing_disc = mean(sharing_real, na.rm = T)-mean(sharing_fake, na.rm = T))</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;resid&#39;. You can override using the
## `.groups` argument.</code></pre>
<pre class="r"><code># Define vars
dvs &lt;- c(&quot;sharing_disc&quot;)
ivs &lt;-  c(&quot;treatment&quot;)

# Specificy formulas
fs &lt;- crossing(dvs, ivs)  %&gt;%
  mutate(f = glue(&quot;{dvs} ~ {ivs}&quot;))

# Apply lm function on formulas, create tidy dataframe 3) filter relevant coefficients
m0_disc &lt;- fs %&gt;%
  mutate(model = map(f, ~ lm_robust(
    formula = as.formula(.x),
    data = df_disc,
    clusters = resid
  ))) 

# combine models
m0 &lt;- rbind(m0, m0_disc)

# Define the three models
models &lt;- list(
  &quot;False headline sharing&quot; = m0$model[[1]],
  &quot;Real headline sharing&quot; = m0$model[[2]],
  &quot;Sharing discernment&quot; = m0$model[[4]],
  &quot;All headlines (Intervention X veracity)&quot; = m0$model[[3]]
)

# This edits the labels (not necessary)
cm &lt;- c(
  &quot;treatmentNudge&quot; = &quot;Accuracy nudge (vs. control)&quot;,
  &quot;treatmentShort&quot; = &quot;15 sec video (vs. control)&quot;,
  &quot;treatmentLong&quot; = &quot;3 min video (vs. control)&quot;,
  &quot;realreal&quot; = &quot;Headline veracity (0 = false, 1 = true)&quot;,
  &quot;treatmentNudge:realreal&quot; = &quot;Accuracy nudge X veracity&quot;,
  &quot;treatmentShort:realreal&quot; = &quot;15 sec video X veracity&quot;,
  &quot;treatmentLong:realreal&quot; = &quot;3 min video X veracity&quot;,
  &#39;(Intercept)&#39; = &#39;Constant&#39;
)


# Define what should be shown
gm &lt;- tibble::tribble(
  ~raw,        ~clean,          ~fmt,
  &quot;nobs&quot;,      &quot;N&quot;,             0,
  &quot;r.squared&quot;, &quot;R2&quot;, 2,
  &quot;adj.r.squared&quot;, &quot;R2 Adj.&quot;, 2,
  &quot;vcov.type&quot;, &quot;SE clusters&quot;, 0)

# Create table
modelsummary(
  models,
  title = &quot;Willingness to share headlines among Facebook users. \\label{tab:fig1_regout_facebook}&quot;,
  coef_map = cm,
  gof_map = gm,
  estimate  = &quot;{estimate} ({std.error}){stars}&quot;,
  statistic = NULL,
  stars = c(&#39;*&#39; = .05, &#39;**&#39; = .01, &#39;***&#39; = .001),
               output = &quot;latex&quot;)  %&gt;% 
  kable_styling(latex_options = c(&quot;hold_position&quot;,
                                  &quot;scale_down&quot;,
                                   notation=&quot;none&quot;),
                font_size = 7,
                 full_width = FALSE) %&gt;% 
  footnote(glue(&quot;Sharing discernment is calculated as the respondent level difference between mean real and false headline sharing, that is, sharing real - sharing false. &#39;All headlines (Treatment X veracity)&#39; shows a regression where all headlines are included with the interaction of the treatment interventions and the veracity of the headline on sharing intention. Coefficients are OLS estimates. Standard errors (in parentheses) are clustered at the respondent level. All regressions are based on observations from {nclus} respondents. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001&quot;),
           threeparttable = TRUE) %&gt;% 
  save_kable(file = here::here(  &quot;fig1_regoutput_facebook.tex&quot;))</code></pre>
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